├── Cleaning Data in Python ├── Chapter -3 Advanced Data Problems ├── Chapter 1 -Exploring your data.py ├── Chapter 2 - Tidying data for analysis.py ├── Chapter 2 Text and categorical data problems ├── Chapter 3 - Combining data for analysis.py ├── Chapter 4 - Cleaning data for analysis.py ├── Chapter 5 - Case study.md ├── Chapter 5 - Case study.py ├── Datasets │ ├── airquality.csv │ ├── dob_job_application_filings_subset.csv │ ├── ebola.csv │ ├── gapminder.csv │ ├── nyc_uber_2014.csv │ ├── tb.csv │ └── tips.csv ├── Instructions │ ├── Chapter 1 - Exploring your data.md │ ├── Chapter 2 - Tidying data for analysis.md │ ├── Chapter 3 - Combining data for analysis.md │ └── Chapter 4 - Cleaning data for analysis.md └── Slides │ └── slides.zip ├── Correlation and Regression ├── Code and Instructions.md ├── ch1.pdf ├── ch2.pdf ├── ch3.pdf ├── ch4.pdf └── ch5.pdf ├── Deep Learning in Python ├── Chapter 1 -Basics of deep learning and neural networks.py ├── Chapter 2 -Optimizing a neural network with backward propagation.py ├── Chapter 3 -Building deep learning models with keras.py ├── Chapter 4 - Fine-tuning keras models.py ├── Instructions │ ├── Chapter 1 - Basics of deep learning and neural networks.md │ ├── Chapter 2 - Optimizing a neural network with backward propagation.md │ ├── Chapter 3 - Building deep learning models with keras.md │ └── Chapter 4 - Fine-tuning keras models.md ├── Slides │ └── Slides.zip ├── hourly_wages.csv ├── mnist.csv └── titanic_all_numeric.csv ├── Importing Data in Python pt1 ├── Chapter 1 - Introduction and flat files.py ├── Chapter 2 - Importing data from other file types.py ├── Chapter 3 - Working with relational databases in Python.py ├── Datasets │ ├── Chinook.sqlite │ ├── L-L1_LOSC_4_V1-1126259446-32.hdf5 │ ├── battledeath.xlsx │ ├── disarea.dta │ ├── mnist_kaggle_some_rows.csv │ ├── sales.sas7bdat │ ├── seaslug.txt │ └── titanic_sub.csv ├── Instructions │ ├── Chapter 1 - Introduction and flat files.md │ ├── Chapter 2 - Importing data from other file types.md │ └── Chapter 3 - Working with relational databases in Python.md └── Slides │ └── Slides.zip ├── Importing Data in Python pt2 ├── Chapter 1 - Importing data from the Internet.py ├── Chapter 2 - Interacting with APIs to import data from the web.py ├── Chapter 3 - Diving deep into the Twitter API.py ├── Instructions │ ├── Chapter 1 - Importing data from the Internet.md │ ├── Chapter 2 - Interacting with APIs to import data from the web.md │ └── Chapter 3 -Diving deep into the Twitter API.md ├── Slides │ └── Slides.zip ├── latitude.xls ├── tweets3.txt └── winequality-red.csv ├── Interactive Data Visualization with Bokeh ├── Chapter 1 - Basic plotting with Bokeh.py ├── Chapter 2 - Layouts, Interactions, and Annotations.py ├── Chapter 3 -Building interactive apps with Bokeh.py ├── Chapter 4 -Putting It All Together! A Case Study.py ├── Datasets │ ├── aapl.csv │ ├── auto-mpg.csv │ ├── gapminder_tidy.csv │ ├── glucose.csv │ ├── literacy_birth_rate.csv │ └── sprint.csv ├── Instructions │ ├── Chapter 1 - Basic plotting with Bokeh.md │ ├── Chapter 2 - Layouts, Interactions, and Annotations.md │ ├── Chapter 3 - Building interactive apps with Bokeh.md │ └── Chapter 4 - Putting It All Together! A Case Study.md └── Slides │ └── Slides.zip ├── Intermediate Python for Data Science ├── Chapter 1-Matplotlib.py ├── Chapter 2 - Dictionaries & Pandas.py ├── Chapter 3 - Logic, Control Flow and Filtering.py ├── Chapter 4-Loops.py ├── Chapter 5 - Case Study Hacker Statistics.py ├── Datasets │ ├── brics.csv │ ├── cars.csv │ └── gapminder.csv ├── Instructions │ ├── Chapter 1-Matploblib.md │ ├── Chapter 2-Dictionaries & Pandas.md │ ├── Chapter 3-Logic, Control Flow and Filtering .md │ ├── Chapter 4 - Loops.md │ ├── Chapter 4-Loops.md │ ├── Chapter 5 - Case Study │ └── Chapter 5 - Case Study: Hacker Statistics.md └── Slides │ ├── intermediate_python_ch1_slides.pdf │ ├── intermediate_python_ch2_slides.pdf │ ├── intermediate_python_ch3_slides.pdf │ ├── intermediate_python_ch4_slides.pdf │ └── intermediate_python_ch5_slides.pdf ├── Intro to Python for Data Science ├── Chapter 3 - Functions and Packages .py ├── Datasets │ ├── baseball.csv │ └── fifa.csv ├── Instructions │ ├── Chapter1.md │ ├── Chapter2.md │ ├── Chapter3.md │ └── Chapter4.md ├── NumPy - Chapter 4.py ├── Python Basics - Chapter2.py ├── Python Lists - Chapter1.py └── Slides │ ├── ch1_slides.pdf │ ├── ch2_slides.pdf │ ├── ch3_slides.pdf │ └── ch4_slides.pdf ├── Introduction to Data Visualizaion with Python ├── Chapter 1 -Customizing plots.py ├── Chapter 2 - Plotting 2D arrays.py ├── Chapter 3 - Statistical plots with Seaborn.py ├── Chapter 4 -Analyzing time series and images.py ├── Instructions │ ├── Chapter 1 - Customizing plots.md │ ├── Chapter 2 - Plotting 2D arrays.md │ ├── Chapter 3 - Statistical plots with Seaborn.md │ └── Chapter 4 - Analyzing time series and images.md ├── Slides │ └── Slides.zip ├── auto-mpg.csv ├── percent-bachelors-degrees-women-usa.csv └── stocks.csv ├── Introduction to Databases in Python ├── Chapter 1 -Basics of Relational Databases.py ├── Chapter 2 -Applying Filtering, Ordering and Grouping to Queries.py ├── Chapter 3 - Advanced SQLAlchemy Queries.py ├── Chapter 4 - Creating and Manipulating your own Databases.py ├── Chapter 5 -Putting it all together.py ├── Datasets │ ├── census.csv │ ├── census.sqlite │ └── employees.sqlite ├── Instructions │ ├── Chapter 1 - Basics of Relational Databases.md │ ├── Chapter 2 - Applying Filtering, Ordering and Grouping to Queries.md │ ├── Chapter 3 - Advanced SQLAlchemy Queries.md │ ├── Chapter 4 - Creating and Manipulating your own Databases.md │ └── Chapter 5 - Putting it all together.md └── Slides │ └── Slides.zip ├── LICENSE ├── Machine Learning with Experts-School Budgets ├── Chapter 1 - Exploring the raw data.py ├── Chapter 2 - Exploring the raw data.py ├── Chapter 3 - Improving your model.py ├── Chapter 4 - Learning from the experts.py ├── Instructions │ ├── Chapter 1 - Exploring the raw data.md │ ├── Chapter 2 - Creating a simple first model.md │ ├── Chapter 3 - Improving your model.md │ └── Chapter 4 - Learning from the experts.md └── Slides │ └── Slides.zip ├── Manipulating DataFrames with pandas ├── Chapter 1 - Extracting and transforming data.py ├── Chapter 2 - Advanced indexing.py ├── Chapter 3 - Rearranging and reshaping data.py ├── Chapter 4 - Grouping data.py ├── Chapter 5 - Bringing it all together.py ├── Datasets │ ├── all_medalists.csv │ ├── gapminder_tidy.csv │ ├── pennsylvania2012_turnout.csv │ ├── pittsburgh2013.csv │ ├── sales.zip │ ├── titanic.csv │ └── users.csv ├── Instructions │ ├── Chapter 1 - Extracting and transforming data.md │ ├── Chapter 2 - Advanced indexing.md │ ├── Chapter 3 - Rearranging and reshaping data.md │ ├── Chapter 4 - Grouping data.md │ └── Chapter 5 - Bringing it all together.md └── Slides │ └── drive-download-20180227T090740Z-001.zip ├── Merging DataFrames with pandas ├── Chapter 1 - Preparing data.py ├── Chapter 2 - Concatenating data.py ├── Chapter 3 - Merging data.py ├── Chapter 4 - Case Study - Summer Olympics.py ├── Datasets │ ├── Baby names.zip │ ├── GDP.zip │ ├── Sales.zip │ ├── Summer Olympic medals.zip │ ├── automobiles.csv │ ├── exchange.csv │ ├── oil_price.csv │ ├── pittsburgh2013.csv │ └── sp500.csv ├── Instructions │ ├── Chapter 1 - Preparing data.md │ ├── Chapter 2 - Concatenating data.md │ ├── Chapter 3 - Merging data.md │ └── Chapter 4 - Case Study - Summer Olympics.md └── Slides │ └── Slides.zip ├── Natural Language Processing Fundamentals in Python ├── Chapter 1 - Regular expressions & word tokenization.py ├── Chapter 2 -Simple topic identification.py ├── Chapter 3 -Named-entity recognition.py ├── Chapter 4 - Building a fake news classifier.py ├── DataSets │ ├── News articles.zip │ ├── Wikipedia articles.zip │ ├── english_stopwords.txt │ └── grail.txt ├── Instructions │ ├── Chapter 1 Regular expressions & word tokenization.md │ ├── Chapter 2 Simple topic identification.md │ ├── Chapter 3 Named-entity recognition.md │ └── Chapter 4 Building a fake news classifier.md └── Slides │ ├── chapter1.pdf │ ├── chapter2.pdf │ ├── chapter3.pdf │ └── chapter4.pdf ├── Network Analysis in Python (Part 1) ├── Chapter 1 - Introduction to networks.py ├── Chapter 2 - Important nodes.py ├── Chapter 3 - Structures.py ├── Chapter 4 - Bringing it all together.py ├── Instructions │ ├── Chapter 1 - Introduction to networks.md │ ├── Chapter 2 - Important nodes.md │ ├── Chapter 3 - Structures.md │ └── Chapter 4 - Bringing it all together.md ├── Slides │ └── Slides.zip ├── ego-twitter.p └── github_users.p ├── Pandas Foundations ├── Chapter 1 - Data ingestion & inspection.py ├── Chapter 2 - Exploratory data analysis.py ├── Chapter 3 - Time series in pandas.py ├── Chapter 4 -Case Study - Sunlight in Austin.py ├── Datasets │ ├── NOAA_QCLCD_2011_hourly_13904.txt │ ├── austin_airport_departure_data_2015_july.csv │ ├── auto-mpg.csv │ ├── life_expectancy_at_birth.csv │ ├── messy_stock_data.tsv.txt │ ├── percent-bachelors-degrees-women-usa.csv │ ├── tips.csv │ ├── titanic.csv │ ├── weather_data_austin_2010.csv │ ├── world_ind_pop_data.csv │ └── world_population.csv ├── Instructions │ ├── Chapter 1 - Data ingestion & inspection.md │ ├── Chapter 2 - Exploratory data analysis.md │ ├── Chapter 3 - Time series in pandas.md │ └── Chapter 4 - Case Study - Sunlight in Austin.md └── Slides │ └── Slides.zip ├── Python Data Science Toolbox pt1 ├── Chapter 1 - Writing your own functions.py ├── Chapter 2 - Default arguments, variable-length arguments and scope.py ├── Chapter 3- Lambda functions and error-handling.py ├── Instructions │ ├── Chapter 1 - Writing Your Own Functions │ ├── Chapter 2 Default arguments, variable-length arguments and scope.md │ └── Chapter 3 - Lambda functions and error-handling.md ├── Slides │ ├── ch1_slides.pdf │ ├── ch2_slides.pdf │ └── ch3_slides.pdf └── tweets.csv ├── Python Data Science Toolbox pt2 ├── Chapter 1 -Using iterators in PythonLand.py ├── Chapter 2 -List comprehensions and generators.py ├── Chapter 3 - Bringing it all together!.py ├── Instructions │ ├── Chapter 1Using iterators in PythonLand.md │ ├── Chapter 2 List comprehensions and generators.md │ └── Chapter 3 Bringing it all together!.md ├── Slides │ └── slides.zip ├── tweets.csv └── world_ind_pop_data.csv ├── README.md ├── Statement of Accomplishment.pdf ├── Statistical Thinking in Python (Part 1) ├── Chapter 1 - Graphical exploratory data analysis.py ├── Chapter 2 - Quantitative exploratory data analysis.py ├── Chapter 3 -Thinking probabilistically-- Discrete variables.py ├── Chapter 4 - Thinking probabilistically-- Continuous variables.py ├── Datasets │ ├── 2008_all_states.csv │ ├── 2008_swing_states.csv │ ├── belmont.csv │ └── michelson_speed_of_light.csv ├── Instructions │ ├── Chapter 1 - Graphical exploratory data analysis.md │ ├── Chapter 2 - Quantitative exploratory data analysis.md │ ├── Chapter 3 - Thinking probabilistically-- Discrete variables.md │ └── Chapter 4 - Thinking probabilistically-- Continuous variables.md └── Slides │ └── Slides.zip ├── Statistical Thinking in Python (Part 2) ├── Chapter 1 - Parameter estimation by optimization.py ├── Chapter 2 - Bootstrap confidence intervals.py ├── Chapter 3 -Introduction to hypothesis testing.py ├── Chapter 4 -Hypothesis test examples.py ├── Chapter 5 - Putting it all together - a case study.py ├── Datasets │ ├── anscombe.csv │ ├── bee_sperm.csv │ ├── female_literacy_fertility.csv │ ├── finch_beaks_1975.csv │ ├── finch_beaks_2012.csv │ ├── fortis_beak_depth_heredity.csv │ ├── frog_tongue.csv │ ├── mlb_nohitters.csv │ ├── scandens_beak_depth_heredity.csv │ └── sheffield_weather_station.csv ├── Instructions │ ├── Chapter 1 - Parameter estimation by optimization.md │ ├── Chapter 2 - Bootstrap confidence intervals.md │ ├── Chapter 3 - Introduction to hypothesis testing.md │ └── Chapter 4 - Hypothesis test examples.md └── Slides │ └── Slides.zip ├── Supervised Learning with scikit-learn ├── Chapter 1 - Classification.py ├── Chapter 2 - Regression.py ├── Chapter 3 - Fine-tuning your model.py ├── Chapter 4 - Preprocessing and pipelines.py ├── Dataset │ ├── auto.csv │ ├── boston.csv │ ├── diabetes.csv │ ├── gm_2008_region.csv │ ├── house-votes-84.csv │ ├── white-wine.csv │ └── winequality-red.csv ├── Instructions │ ├── Chapter 1 - Classification.md │ ├── Chapter 2 - Regression.md │ ├── Chapter 3 Fine-tuning your model.md │ └── Chapter 4 Preprocessing and pipelines.md └── Slides │ └── Slides.zip └── Unsupervised Learning in Python ├── Chapter 1 - Clustering for dataset exploration.py ├── Chapter 2 - Visualization with hierarchical clustering and t-SNE.py ├── Chapter 3 - Decorrelating your data and dimension reduction.py ├── Chapter 4 - Discovering interpretable features.py ├── Datasets ├── Grains.zip ├── Musical artists.zip ├── Wikipedia articles.zip ├── company-stock-movements-2010-2015-incl.csv ├── eurovision-2016.csv ├── fish.csv ├── lcd-digits.csv └── wine.csv ├── Instructions ├── Chapter 1 - Clustering for dataset exploration.md ├── Chapter 2 - Visualization with hierarchical clustering and t-SNE.md ├── Chapter 3 - Decorrelating your data and dimension reduction.md └── Chapter 4 - Discovering interpretable features.md └── Slides └── Slides.zip /Cleaning Data in Python/Chapter -3 Advanced Data Problems: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Chapter -3 Advanced Data Problems -------------------------------------------------------------------------------- /Cleaning Data in Python/Chapter 1 -Exploring your data.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Chapter 1 -Exploring your data.py -------------------------------------------------------------------------------- /Cleaning Data in Python/Chapter 2 - Tidying data for analysis.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Chapter 2 - Tidying data for analysis.py -------------------------------------------------------------------------------- /Cleaning Data in Python/Chapter 2 Text and categorical data problems: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Chapter 2 Text and categorical data problems -------------------------------------------------------------------------------- /Cleaning Data in Python/Chapter 3 - Combining data for analysis.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Chapter 3 - Combining data for analysis.py -------------------------------------------------------------------------------- /Cleaning Data in Python/Chapter 4 - Cleaning data for analysis.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Chapter 4 - Cleaning data for analysis.py -------------------------------------------------------------------------------- /Cleaning Data in Python/Chapter 5 - Case study.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Chapter 5 - Case study.md -------------------------------------------------------------------------------- /Cleaning Data in Python/Chapter 5 - Case study.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Chapter 5 - Case study.py -------------------------------------------------------------------------------- /Cleaning Data in Python/Datasets/airquality.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Datasets/airquality.csv -------------------------------------------------------------------------------- /Cleaning Data in Python/Datasets/dob_job_application_filings_subset.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Datasets/dob_job_application_filings_subset.csv -------------------------------------------------------------------------------- /Cleaning Data in Python/Datasets/ebola.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Datasets/ebola.csv -------------------------------------------------------------------------------- /Cleaning Data in Python/Datasets/gapminder.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Datasets/gapminder.csv -------------------------------------------------------------------------------- /Cleaning Data in Python/Datasets/nyc_uber_2014.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Datasets/nyc_uber_2014.csv -------------------------------------------------------------------------------- /Cleaning Data in Python/Datasets/tb.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Datasets/tb.csv -------------------------------------------------------------------------------- /Cleaning Data in Python/Datasets/tips.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Datasets/tips.csv -------------------------------------------------------------------------------- /Cleaning Data in Python/Instructions/Chapter 1 - Exploring your data.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Instructions/Chapter 1 - Exploring your data.md -------------------------------------------------------------------------------- /Cleaning Data in Python/Instructions/Chapter 2 - Tidying data for analysis.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Instructions/Chapter 2 - Tidying data for analysis.md -------------------------------------------------------------------------------- /Cleaning Data in Python/Instructions/Chapter 3 - Combining data for analysis.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Instructions/Chapter 3 - Combining data for analysis.md -------------------------------------------------------------------------------- /Cleaning Data in Python/Instructions/Chapter 4 - Cleaning data for analysis.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Instructions/Chapter 4 - Cleaning data for analysis.md -------------------------------------------------------------------------------- /Cleaning Data in Python/Slides/slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Cleaning Data in Python/Slides/slides.zip -------------------------------------------------------------------------------- /Correlation and Regression/Code and Instructions.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Correlation and Regression/Code and Instructions.md -------------------------------------------------------------------------------- /Correlation and Regression/ch1.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Correlation and Regression/ch1.pdf -------------------------------------------------------------------------------- /Correlation and Regression/ch2.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Correlation and Regression/ch2.pdf -------------------------------------------------------------------------------- /Correlation and Regression/ch3.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Correlation and Regression/ch3.pdf -------------------------------------------------------------------------------- /Correlation and Regression/ch4.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Correlation and Regression/ch4.pdf -------------------------------------------------------------------------------- /Correlation and Regression/ch5.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Correlation and Regression/ch5.pdf -------------------------------------------------------------------------------- /Deep Learning in Python/Chapter 1 -Basics of deep learning and neural networks.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Deep Learning in Python/Chapter 1 -Basics of deep learning and neural networks.py -------------------------------------------------------------------------------- /Deep Learning in Python/Chapter 2 -Optimizing a neural network with backward propagation.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Deep Learning in Python/Chapter 2 -Optimizing a neural network with backward propagation.py -------------------------------------------------------------------------------- /Deep Learning in Python/Chapter 3 -Building deep learning models with keras.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Deep Learning in Python/Chapter 3 -Building deep learning models with keras.py -------------------------------------------------------------------------------- /Deep Learning in Python/Chapter 4 - Fine-tuning keras models.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Deep Learning in Python/Chapter 4 - Fine-tuning keras models.py -------------------------------------------------------------------------------- /Deep Learning in Python/Instructions/Chapter 1 - Basics of deep learning and neural networks.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Deep Learning in Python/Instructions/Chapter 1 - Basics of deep learning and neural networks.md -------------------------------------------------------------------------------- /Deep Learning in Python/Instructions/Chapter 2 - Optimizing a neural network with backward propagation.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Deep Learning in Python/Instructions/Chapter 2 - Optimizing a neural network with backward propagation.md -------------------------------------------------------------------------------- /Deep Learning in Python/Instructions/Chapter 3 - Building deep learning models with keras.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Deep Learning in Python/Instructions/Chapter 3 - Building deep learning models with keras.md -------------------------------------------------------------------------------- /Deep Learning in Python/Instructions/Chapter 4 - Fine-tuning keras models.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Deep Learning in Python/Instructions/Chapter 4 - Fine-tuning keras models.md -------------------------------------------------------------------------------- /Deep Learning in Python/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Deep Learning in Python/Slides/Slides.zip -------------------------------------------------------------------------------- /Deep Learning in Python/hourly_wages.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Deep Learning in Python/hourly_wages.csv -------------------------------------------------------------------------------- /Deep Learning in Python/mnist.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Deep Learning in Python/mnist.csv -------------------------------------------------------------------------------- /Deep Learning in Python/titanic_all_numeric.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Deep Learning in Python/titanic_all_numeric.csv -------------------------------------------------------------------------------- /Importing Data in Python pt1/Chapter 1 - Introduction and flat files.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Chapter 1 - Introduction and flat files.py -------------------------------------------------------------------------------- /Importing Data in Python pt1/Chapter 2 - Importing data from other file types.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Chapter 2 - Importing data from other file types.py -------------------------------------------------------------------------------- /Importing Data in Python pt1/Chapter 3 - Working with relational databases in Python.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Chapter 3 - Working with relational databases in Python.py -------------------------------------------------------------------------------- /Importing Data in Python pt1/Datasets/Chinook.sqlite: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Datasets/Chinook.sqlite -------------------------------------------------------------------------------- /Importing Data in Python pt1/Datasets/L-L1_LOSC_4_V1-1126259446-32.hdf5: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Datasets/L-L1_LOSC_4_V1-1126259446-32.hdf5 -------------------------------------------------------------------------------- /Importing Data in Python pt1/Datasets/battledeath.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Datasets/battledeath.xlsx -------------------------------------------------------------------------------- /Importing Data in Python pt1/Datasets/disarea.dta: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Datasets/disarea.dta -------------------------------------------------------------------------------- /Importing Data in Python pt1/Datasets/mnist_kaggle_some_rows.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Datasets/mnist_kaggle_some_rows.csv -------------------------------------------------------------------------------- /Importing Data in Python pt1/Datasets/sales.sas7bdat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Datasets/sales.sas7bdat -------------------------------------------------------------------------------- /Importing Data in Python pt1/Datasets/seaslug.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Datasets/seaslug.txt -------------------------------------------------------------------------------- /Importing Data in Python pt1/Datasets/titanic_sub.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Datasets/titanic_sub.csv -------------------------------------------------------------------------------- /Importing Data in Python pt1/Instructions/Chapter 1 - Introduction and flat files.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Instructions/Chapter 1 - Introduction and flat files.md -------------------------------------------------------------------------------- /Importing Data in Python pt1/Instructions/Chapter 2 - Importing data from other file types.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Instructions/Chapter 2 - Importing data from other file types.md -------------------------------------------------------------------------------- /Importing Data in Python pt1/Instructions/Chapter 3 - Working with relational databases in Python.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Instructions/Chapter 3 - Working with relational databases in Python.md -------------------------------------------------------------------------------- /Importing Data in Python pt1/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt1/Slides/Slides.zip -------------------------------------------------------------------------------- /Importing Data in Python pt2/Chapter 1 - Importing data from the Internet.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt2/Chapter 1 - Importing data from the Internet.py -------------------------------------------------------------------------------- /Importing Data in Python pt2/Chapter 2 - Interacting with APIs to import data from the web.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt2/Chapter 2 - Interacting with APIs to import data from the web.py -------------------------------------------------------------------------------- /Importing Data in Python pt2/Chapter 3 - Diving deep into the Twitter API.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt2/Chapter 3 - Diving deep into the Twitter API.py -------------------------------------------------------------------------------- /Importing Data in Python pt2/Instructions/Chapter 1 - Importing data from the Internet.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt2/Instructions/Chapter 1 - Importing data from the Internet.md -------------------------------------------------------------------------------- /Importing Data in Python pt2/Instructions/Chapter 2 - Interacting with APIs to import data from the web.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt2/Instructions/Chapter 2 - Interacting with APIs to import data from the web.md -------------------------------------------------------------------------------- /Importing Data in Python pt2/Instructions/Chapter 3 -Diving deep into the Twitter API.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt2/Instructions/Chapter 3 -Diving deep into the Twitter API.md -------------------------------------------------------------------------------- /Importing Data in Python pt2/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt2/Slides/Slides.zip -------------------------------------------------------------------------------- /Importing Data in Python pt2/latitude.xls: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt2/latitude.xls -------------------------------------------------------------------------------- /Importing Data in Python pt2/tweets3.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt2/tweets3.txt -------------------------------------------------------------------------------- /Importing Data in Python pt2/winequality-red.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Importing Data in Python pt2/winequality-red.csv -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Chapter 1 - Basic plotting with Bokeh.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Chapter 1 - Basic plotting with Bokeh.py -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Chapter 2 - Layouts, Interactions, and Annotations.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Chapter 2 - Layouts, Interactions, and Annotations.py -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Chapter 3 -Building interactive apps with Bokeh.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Chapter 3 -Building interactive apps with Bokeh.py -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Chapter 4 -Putting It All Together! A Case Study.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Chapter 4 -Putting It All Together! A Case Study.py -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Datasets/aapl.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Datasets/aapl.csv -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Datasets/auto-mpg.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Datasets/auto-mpg.csv -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Datasets/gapminder_tidy.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Datasets/gapminder_tidy.csv -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Datasets/glucose.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Datasets/glucose.csv -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Datasets/literacy_birth_rate.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Datasets/literacy_birth_rate.csv -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Datasets/sprint.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Datasets/sprint.csv -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Instructions/Chapter 1 - Basic plotting with Bokeh.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Instructions/Chapter 1 - Basic plotting with Bokeh.md -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Instructions/Chapter 2 - Layouts, Interactions, and Annotations.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Instructions/Chapter 2 - Layouts, Interactions, and Annotations.md -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Instructions/Chapter 3 - Building interactive apps with Bokeh.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Instructions/Chapter 3 - Building interactive apps with Bokeh.md -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Instructions/Chapter 4 - Putting It All Together! A Case Study.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Instructions/Chapter 4 - Putting It All Together! A Case Study.md -------------------------------------------------------------------------------- /Interactive Data Visualization with Bokeh/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Interactive Data Visualization with Bokeh/Slides/Slides.zip -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Chapter 1-Matplotlib.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Chapter 1-Matplotlib.py -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Chapter 2 - Dictionaries & Pandas.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Chapter 2 - Dictionaries & Pandas.py -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Chapter 3 - Logic, Control Flow and Filtering.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Chapter 3 - Logic, Control Flow and Filtering.py -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Chapter 4-Loops.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Chapter 4-Loops.py -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Chapter 5 - Case Study Hacker Statistics.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Chapter 5 - Case Study Hacker Statistics.py -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Datasets/brics.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Datasets/brics.csv -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Datasets/cars.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Datasets/cars.csv -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Datasets/gapminder.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Datasets/gapminder.csv -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Instructions/Chapter 1-Matploblib.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Instructions/Chapter 1-Matploblib.md -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Instructions/Chapter 2-Dictionaries & Pandas.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Instructions/Chapter 2-Dictionaries & Pandas.md -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Instructions/Chapter 3-Logic, Control Flow and Filtering .md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Instructions/Chapter 3-Logic, Control Flow and Filtering .md -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Instructions/Chapter 4 - Loops.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Instructions/Chapter 4 - Loops.md -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Instructions/Chapter 4-Loops.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Instructions/Chapter 4-Loops.md -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Instructions/Chapter 5 - Case Study: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Instructions/Chapter 5 - Case Study: Hacker Statistics.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Instructions/Chapter 5 - Case Study: Hacker Statistics.md -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Slides/intermediate_python_ch1_slides.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Slides/intermediate_python_ch1_slides.pdf -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Slides/intermediate_python_ch2_slides.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Slides/intermediate_python_ch2_slides.pdf -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Slides/intermediate_python_ch3_slides.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Slides/intermediate_python_ch3_slides.pdf -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Slides/intermediate_python_ch4_slides.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Slides/intermediate_python_ch4_slides.pdf -------------------------------------------------------------------------------- /Intermediate Python for Data Science/Slides/intermediate_python_ch5_slides.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intermediate Python for Data Science/Slides/intermediate_python_ch5_slides.pdf -------------------------------------------------------------------------------- /Intro to Python for Data Science/Chapter 3 - Functions and Packages .py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/Chapter 3 - Functions and Packages .py -------------------------------------------------------------------------------- /Intro to Python for Data Science/Datasets/baseball.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/Datasets/baseball.csv -------------------------------------------------------------------------------- /Intro to Python for Data Science/Datasets/fifa.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/Datasets/fifa.csv -------------------------------------------------------------------------------- /Intro to Python for Data Science/Instructions/Chapter1.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/Instructions/Chapter1.md -------------------------------------------------------------------------------- /Intro to Python for Data Science/Instructions/Chapter2.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/Instructions/Chapter2.md -------------------------------------------------------------------------------- /Intro to Python for Data Science/Instructions/Chapter3.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/Instructions/Chapter3.md -------------------------------------------------------------------------------- /Intro to Python for Data Science/Instructions/Chapter4.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/Instructions/Chapter4.md -------------------------------------------------------------------------------- /Intro to Python for Data Science/NumPy - Chapter 4.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/NumPy - Chapter 4.py -------------------------------------------------------------------------------- /Intro to Python for Data Science/Python Basics - Chapter2.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/Python Basics - Chapter2.py -------------------------------------------------------------------------------- /Intro to Python for Data Science/Python Lists - Chapter1.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/Python Lists - Chapter1.py -------------------------------------------------------------------------------- /Intro to Python for Data Science/Slides/ch1_slides.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/Slides/ch1_slides.pdf -------------------------------------------------------------------------------- /Intro to Python for Data Science/Slides/ch2_slides.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/Slides/ch2_slides.pdf -------------------------------------------------------------------------------- /Intro to Python for Data Science/Slides/ch3_slides.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/Slides/ch3_slides.pdf -------------------------------------------------------------------------------- /Intro to Python for Data Science/Slides/ch4_slides.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Intro to Python for Data Science/Slides/ch4_slides.pdf -------------------------------------------------------------------------------- /Introduction to Data Visualizaion with Python/Chapter 1 -Customizing plots.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Data Visualizaion with Python/Chapter 1 -Customizing plots.py -------------------------------------------------------------------------------- /Introduction to Data Visualizaion with Python/Chapter 2 - Plotting 2D arrays.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Data Visualizaion with Python/Chapter 2 - Plotting 2D arrays.py -------------------------------------------------------------------------------- /Introduction to Data Visualizaion with Python/Chapter 3 - Statistical plots with Seaborn.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Data Visualizaion with Python/Chapter 3 - Statistical plots with Seaborn.py -------------------------------------------------------------------------------- /Introduction to Data Visualizaion with Python/Chapter 4 -Analyzing time series and images.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Data Visualizaion with Python/Chapter 4 -Analyzing time series and images.py -------------------------------------------------------------------------------- /Introduction to Data Visualizaion with Python/Instructions/Chapter 1 - Customizing plots.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Data Visualizaion with Python/Instructions/Chapter 1 - Customizing plots.md -------------------------------------------------------------------------------- /Introduction to Data Visualizaion with Python/Instructions/Chapter 2 - Plotting 2D arrays.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Data Visualizaion with Python/Instructions/Chapter 2 - Plotting 2D arrays.md -------------------------------------------------------------------------------- /Introduction to Data Visualizaion with Python/Instructions/Chapter 3 - Statistical plots with Seaborn.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Data Visualizaion with Python/Instructions/Chapter 3 - Statistical plots with Seaborn.md -------------------------------------------------------------------------------- /Introduction to Data Visualizaion with Python/Instructions/Chapter 4 - Analyzing time series and images.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Data Visualizaion with Python/Instructions/Chapter 4 - Analyzing time series and images.md -------------------------------------------------------------------------------- /Introduction to Data Visualizaion with Python/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Data Visualizaion with Python/Slides/Slides.zip -------------------------------------------------------------------------------- /Introduction to Data Visualizaion with Python/auto-mpg.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Data Visualizaion with Python/auto-mpg.csv -------------------------------------------------------------------------------- /Introduction to Data Visualizaion with Python/percent-bachelors-degrees-women-usa.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Data Visualizaion with Python/percent-bachelors-degrees-women-usa.csv -------------------------------------------------------------------------------- /Introduction to Data Visualizaion with Python/stocks.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Data Visualizaion with Python/stocks.csv -------------------------------------------------------------------------------- /Introduction to Databases in Python/Chapter 1 -Basics of Relational Databases.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Chapter 1 -Basics of Relational Databases.py -------------------------------------------------------------------------------- /Introduction to Databases in Python/Chapter 2 -Applying Filtering, Ordering and Grouping to Queries.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Chapter 2 -Applying Filtering, Ordering and Grouping to Queries.py -------------------------------------------------------------------------------- /Introduction to Databases in Python/Chapter 3 - Advanced SQLAlchemy Queries.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Chapter 3 - Advanced SQLAlchemy Queries.py -------------------------------------------------------------------------------- /Introduction to Databases in Python/Chapter 4 - Creating and Manipulating your own Databases.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Chapter 4 - Creating and Manipulating your own Databases.py -------------------------------------------------------------------------------- /Introduction to Databases in Python/Chapter 5 -Putting it all together.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Chapter 5 -Putting it all together.py -------------------------------------------------------------------------------- /Introduction to Databases in Python/Datasets/census.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Datasets/census.csv -------------------------------------------------------------------------------- /Introduction to Databases in Python/Datasets/census.sqlite: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Datasets/census.sqlite -------------------------------------------------------------------------------- /Introduction to Databases in Python/Datasets/employees.sqlite: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Datasets/employees.sqlite -------------------------------------------------------------------------------- /Introduction to Databases in Python/Instructions/Chapter 1 - Basics of Relational Databases.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Instructions/Chapter 1 - Basics of Relational Databases.md -------------------------------------------------------------------------------- /Introduction to Databases in Python/Instructions/Chapter 2 - Applying Filtering, Ordering and Grouping to Queries.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Instructions/Chapter 2 - Applying Filtering, Ordering and Grouping to Queries.md -------------------------------------------------------------------------------- /Introduction to Databases in Python/Instructions/Chapter 3 - Advanced SQLAlchemy Queries.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Instructions/Chapter 3 - Advanced SQLAlchemy Queries.md -------------------------------------------------------------------------------- /Introduction to Databases in Python/Instructions/Chapter 4 - Creating and Manipulating your own Databases.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Instructions/Chapter 4 - Creating and Manipulating your own Databases.md -------------------------------------------------------------------------------- /Introduction to Databases in Python/Instructions/Chapter 5 - Putting it all together.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Instructions/Chapter 5 - Putting it all together.md -------------------------------------------------------------------------------- /Introduction to Databases in Python/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Introduction to Databases in Python/Slides/Slides.zip -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/LICENSE -------------------------------------------------------------------------------- /Machine Learning with Experts-School Budgets/Chapter 1 - Exploring the raw data.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Machine Learning with Experts-School Budgets/Chapter 1 - Exploring the raw data.py -------------------------------------------------------------------------------- /Machine Learning with Experts-School Budgets/Chapter 2 - Exploring the raw data.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Machine Learning with Experts-School Budgets/Chapter 2 - Exploring the raw data.py -------------------------------------------------------------------------------- /Machine Learning with Experts-School Budgets/Chapter 3 - Improving your model.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Machine Learning with Experts-School Budgets/Chapter 3 - Improving your model.py -------------------------------------------------------------------------------- /Machine Learning with Experts-School Budgets/Chapter 4 - Learning from the experts.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Machine Learning with Experts-School Budgets/Chapter 4 - Learning from the experts.py -------------------------------------------------------------------------------- /Machine Learning with Experts-School Budgets/Instructions/Chapter 1 - Exploring the raw data.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Machine Learning with Experts-School Budgets/Instructions/Chapter 1 - Exploring the raw data.md -------------------------------------------------------------------------------- /Machine Learning with Experts-School Budgets/Instructions/Chapter 2 - Creating a simple first model.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Machine Learning with Experts-School Budgets/Instructions/Chapter 2 - Creating a simple first model.md -------------------------------------------------------------------------------- /Machine Learning with Experts-School Budgets/Instructions/Chapter 3 - Improving your model.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Machine Learning with Experts-School Budgets/Instructions/Chapter 3 - Improving your model.md -------------------------------------------------------------------------------- /Machine Learning with Experts-School Budgets/Instructions/Chapter 4 - Learning from the experts.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Machine Learning with Experts-School Budgets/Instructions/Chapter 4 - Learning from the experts.md -------------------------------------------------------------------------------- /Machine Learning with Experts-School Budgets/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Machine Learning with Experts-School Budgets/Slides/Slides.zip -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Chapter 1 - Extracting and transforming data.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Chapter 1 - Extracting and transforming data.py -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Chapter 2 - Advanced indexing.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Chapter 2 - Advanced indexing.py -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Chapter 3 - Rearranging and reshaping data.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Chapter 3 - Rearranging and reshaping data.py -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Chapter 4 - Grouping data.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Chapter 4 - Grouping data.py -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Chapter 5 - Bringing it all together.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Chapter 5 - Bringing it all together.py -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Datasets/all_medalists.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Datasets/all_medalists.csv -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Datasets/gapminder_tidy.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Datasets/gapminder_tidy.csv -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Datasets/pennsylvania2012_turnout.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Datasets/pennsylvania2012_turnout.csv -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Datasets/pittsburgh2013.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Datasets/pittsburgh2013.csv -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Datasets/sales.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Datasets/sales.zip -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Datasets/titanic.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Datasets/titanic.csv -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Datasets/users.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Datasets/users.csv -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Instructions/Chapter 1 - Extracting and transforming data.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Instructions/Chapter 1 - Extracting and transforming data.md -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Instructions/Chapter 2 - Advanced indexing.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Instructions/Chapter 2 - Advanced indexing.md -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Instructions/Chapter 3 - Rearranging and reshaping data.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Instructions/Chapter 3 - Rearranging and reshaping data.md -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Instructions/Chapter 4 - Grouping data.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Instructions/Chapter 4 - Grouping data.md -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Instructions/Chapter 5 - Bringing it all together.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Instructions/Chapter 5 - Bringing it all together.md -------------------------------------------------------------------------------- /Manipulating DataFrames with pandas/Slides/drive-download-20180227T090740Z-001.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Manipulating DataFrames with pandas/Slides/drive-download-20180227T090740Z-001.zip -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Chapter 1 - Preparing data.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Chapter 1 - Preparing data.py -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Chapter 2 - Concatenating data.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Chapter 2 - Concatenating data.py -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Chapter 3 - Merging data.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Chapter 3 - Merging data.py -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Chapter 4 - Case Study - Summer Olympics.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Chapter 4 - Case Study - Summer Olympics.py -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Datasets/Baby names.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Datasets/Baby names.zip -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Datasets/GDP.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Datasets/GDP.zip -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Datasets/Sales.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Datasets/Sales.zip -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Datasets/Summer Olympic medals.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Datasets/Summer Olympic medals.zip -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Datasets/automobiles.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Datasets/automobiles.csv -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Datasets/exchange.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Datasets/exchange.csv -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Datasets/oil_price.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Datasets/oil_price.csv -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Datasets/pittsburgh2013.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Datasets/pittsburgh2013.csv -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Datasets/sp500.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Datasets/sp500.csv -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Instructions/Chapter 1 - Preparing data.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Instructions/Chapter 1 - Preparing data.md -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Instructions/Chapter 2 - Concatenating data.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Instructions/Chapter 2 - Concatenating data.md -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Instructions/Chapter 3 - Merging data.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Instructions/Chapter 3 - Merging data.md -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Instructions/Chapter 4 - Case Study - Summer Olympics.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Instructions/Chapter 4 - Case Study - Summer Olympics.md -------------------------------------------------------------------------------- /Merging DataFrames with pandas/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Merging DataFrames with pandas/Slides/Slides.zip -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/Chapter 1 - Regular expressions & word tokenization.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/Chapter 1 - Regular expressions & word tokenization.py -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/Chapter 2 -Simple topic identification.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/Chapter 2 -Simple topic identification.py -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/Chapter 3 -Named-entity recognition.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/Chapter 3 -Named-entity recognition.py -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/Chapter 4 - Building a fake news classifier.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/Chapter 4 - Building a fake news classifier.py -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/DataSets/News articles.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/DataSets/News articles.zip -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/DataSets/Wikipedia articles.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/DataSets/Wikipedia articles.zip -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/DataSets/english_stopwords.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/DataSets/english_stopwords.txt -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/DataSets/grail.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/DataSets/grail.txt -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/Instructions/Chapter 1 Regular expressions & word tokenization.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/Instructions/Chapter 1 Regular expressions & word tokenization.md -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/Instructions/Chapter 2 Simple topic identification.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/Instructions/Chapter 2 Simple topic identification.md -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/Instructions/Chapter 3 Named-entity recognition.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/Instructions/Chapter 3 Named-entity recognition.md -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/Instructions/Chapter 4 Building a fake news classifier.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/Instructions/Chapter 4 Building a fake news classifier.md -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/Slides/chapter1.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/Slides/chapter1.pdf -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/Slides/chapter2.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/Slides/chapter2.pdf -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/Slides/chapter3.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/Slides/chapter3.pdf -------------------------------------------------------------------------------- /Natural Language Processing Fundamentals in Python/Slides/chapter4.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Natural Language Processing Fundamentals in Python/Slides/chapter4.pdf -------------------------------------------------------------------------------- /Network Analysis in Python (Part 1)/Chapter 1 - Introduction to networks.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Network Analysis in Python (Part 1)/Chapter 1 - Introduction to networks.py -------------------------------------------------------------------------------- /Network Analysis in Python (Part 1)/Chapter 2 - Important nodes.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Network Analysis in Python (Part 1)/Chapter 2 - Important nodes.py -------------------------------------------------------------------------------- /Network Analysis in Python (Part 1)/Chapter 3 - Structures.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Network Analysis in Python (Part 1)/Chapter 3 - Structures.py -------------------------------------------------------------------------------- /Network Analysis in Python (Part 1)/Chapter 4 - Bringing it all together.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Network Analysis in Python (Part 1)/Chapter 4 - Bringing it all together.py -------------------------------------------------------------------------------- /Network Analysis in Python (Part 1)/Instructions/Chapter 1 - Introduction to networks.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Network Analysis in Python (Part 1)/Instructions/Chapter 1 - Introduction to networks.md -------------------------------------------------------------------------------- /Network Analysis in Python (Part 1)/Instructions/Chapter 2 - Important nodes.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Network Analysis in Python (Part 1)/Instructions/Chapter 2 - Important nodes.md -------------------------------------------------------------------------------- /Network Analysis in Python (Part 1)/Instructions/Chapter 3 - Structures.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Network Analysis in Python (Part 1)/Instructions/Chapter 3 - Structures.md -------------------------------------------------------------------------------- /Network Analysis in Python (Part 1)/Instructions/Chapter 4 - Bringing it all together.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Network Analysis in Python (Part 1)/Instructions/Chapter 4 - Bringing it all together.md -------------------------------------------------------------------------------- /Network Analysis in Python (Part 1)/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Network Analysis in Python (Part 1)/Slides/Slides.zip -------------------------------------------------------------------------------- /Network Analysis in Python (Part 1)/ego-twitter.p: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Network Analysis in Python (Part 1)/ego-twitter.p -------------------------------------------------------------------------------- /Network Analysis in Python (Part 1)/github_users.p: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Network Analysis in Python (Part 1)/github_users.p -------------------------------------------------------------------------------- /Pandas Foundations/Chapter 1 - Data ingestion & inspection.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Chapter 1 - Data ingestion & inspection.py -------------------------------------------------------------------------------- /Pandas Foundations/Chapter 2 - Exploratory data analysis.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Chapter 2 - Exploratory data analysis.py -------------------------------------------------------------------------------- /Pandas Foundations/Chapter 3 - Time series in pandas.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Chapter 3 - Time series in pandas.py -------------------------------------------------------------------------------- /Pandas Foundations/Chapter 4 -Case Study - Sunlight in Austin.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Chapter 4 -Case Study - Sunlight in Austin.py -------------------------------------------------------------------------------- /Pandas Foundations/Datasets/NOAA_QCLCD_2011_hourly_13904.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Datasets/NOAA_QCLCD_2011_hourly_13904.txt -------------------------------------------------------------------------------- /Pandas Foundations/Datasets/austin_airport_departure_data_2015_july.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Datasets/austin_airport_departure_data_2015_july.csv -------------------------------------------------------------------------------- /Pandas Foundations/Datasets/auto-mpg.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Datasets/auto-mpg.csv -------------------------------------------------------------------------------- /Pandas Foundations/Datasets/life_expectancy_at_birth.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Datasets/life_expectancy_at_birth.csv -------------------------------------------------------------------------------- /Pandas Foundations/Datasets/messy_stock_data.tsv.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Datasets/messy_stock_data.tsv.txt -------------------------------------------------------------------------------- /Pandas Foundations/Datasets/percent-bachelors-degrees-women-usa.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Datasets/percent-bachelors-degrees-women-usa.csv -------------------------------------------------------------------------------- /Pandas Foundations/Datasets/tips.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Datasets/tips.csv -------------------------------------------------------------------------------- /Pandas Foundations/Datasets/titanic.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Datasets/titanic.csv -------------------------------------------------------------------------------- /Pandas Foundations/Datasets/weather_data_austin_2010.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Datasets/weather_data_austin_2010.csv -------------------------------------------------------------------------------- /Pandas Foundations/Datasets/world_ind_pop_data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Datasets/world_ind_pop_data.csv -------------------------------------------------------------------------------- /Pandas Foundations/Datasets/world_population.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Datasets/world_population.csv -------------------------------------------------------------------------------- /Pandas Foundations/Instructions/Chapter 1 - Data ingestion & inspection.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Instructions/Chapter 1 - Data ingestion & inspection.md -------------------------------------------------------------------------------- /Pandas Foundations/Instructions/Chapter 2 - Exploratory data analysis.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Instructions/Chapter 2 - Exploratory data analysis.md -------------------------------------------------------------------------------- /Pandas Foundations/Instructions/Chapter 3 - Time series in pandas.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Instructions/Chapter 3 - Time series in pandas.md -------------------------------------------------------------------------------- /Pandas Foundations/Instructions/Chapter 4 - Case Study - Sunlight in Austin.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Instructions/Chapter 4 - Case Study - Sunlight in Austin.md -------------------------------------------------------------------------------- /Pandas Foundations/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Pandas Foundations/Slides/Slides.zip -------------------------------------------------------------------------------- /Python Data Science Toolbox pt1/Chapter 1 - Writing your own functions.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt1/Chapter 1 - Writing your own functions.py -------------------------------------------------------------------------------- /Python Data Science Toolbox pt1/Chapter 2 - Default arguments, variable-length arguments and scope.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt1/Chapter 2 - Default arguments, variable-length arguments and scope.py -------------------------------------------------------------------------------- /Python Data Science Toolbox pt1/Chapter 3- Lambda functions and error-handling.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt1/Chapter 3- Lambda functions and error-handling.py -------------------------------------------------------------------------------- /Python Data Science Toolbox pt1/Instructions/Chapter 1 - Writing Your Own Functions: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt1/Instructions/Chapter 1 - Writing Your Own Functions -------------------------------------------------------------------------------- /Python Data Science Toolbox pt1/Instructions/Chapter 2 Default arguments, variable-length arguments and scope.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt1/Instructions/Chapter 2 Default arguments, variable-length arguments and scope.md -------------------------------------------------------------------------------- /Python Data Science Toolbox pt1/Instructions/Chapter 3 - Lambda functions and error-handling.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt1/Instructions/Chapter 3 - Lambda functions and error-handling.md -------------------------------------------------------------------------------- /Python Data Science Toolbox pt1/Slides/ch1_slides.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt1/Slides/ch1_slides.pdf -------------------------------------------------------------------------------- /Python Data Science Toolbox pt1/Slides/ch2_slides.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt1/Slides/ch2_slides.pdf -------------------------------------------------------------------------------- /Python Data Science Toolbox pt1/Slides/ch3_slides.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt1/Slides/ch3_slides.pdf -------------------------------------------------------------------------------- /Python Data Science Toolbox pt1/tweets.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt1/tweets.csv -------------------------------------------------------------------------------- /Python Data Science Toolbox pt2/Chapter 1 -Using iterators in PythonLand.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt2/Chapter 1 -Using iterators in PythonLand.py -------------------------------------------------------------------------------- /Python Data Science Toolbox pt2/Chapter 2 -List comprehensions and generators.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt2/Chapter 2 -List comprehensions and generators.py -------------------------------------------------------------------------------- /Python Data Science Toolbox pt2/Chapter 3 - Bringing it all together!.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt2/Chapter 3 - Bringing it all together!.py -------------------------------------------------------------------------------- /Python Data Science Toolbox pt2/Instructions/Chapter 1Using iterators in PythonLand.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt2/Instructions/Chapter 1Using iterators in PythonLand.md -------------------------------------------------------------------------------- /Python Data Science Toolbox pt2/Instructions/Chapter 2 List comprehensions and generators.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt2/Instructions/Chapter 2 List comprehensions and generators.md -------------------------------------------------------------------------------- /Python Data Science Toolbox pt2/Instructions/Chapter 3 Bringing it all together!.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt2/Instructions/Chapter 3 Bringing it all together!.md -------------------------------------------------------------------------------- /Python Data Science Toolbox pt2/Slides/slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt2/Slides/slides.zip -------------------------------------------------------------------------------- /Python Data Science Toolbox pt2/tweets.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt2/tweets.csv -------------------------------------------------------------------------------- /Python Data Science Toolbox pt2/world_ind_pop_data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Python Data Science Toolbox pt2/world_ind_pop_data.csv -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/README.md -------------------------------------------------------------------------------- /Statement of Accomplishment.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statement of Accomplishment.pdf -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 1)/Chapter 1 - Graphical exploratory data analysis.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 1)/Chapter 1 - Graphical exploratory data analysis.py -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 1)/Chapter 2 - Quantitative exploratory data analysis.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 1)/Chapter 2 - Quantitative exploratory data analysis.py -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 1)/Chapter 3 -Thinking probabilistically-- Discrete variables.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 1)/Chapter 3 -Thinking probabilistically-- Discrete variables.py -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 1)/Chapter 4 - Thinking probabilistically-- Continuous variables.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 1)/Chapter 4 - Thinking probabilistically-- Continuous variables.py -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 1)/Datasets/2008_all_states.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 1)/Datasets/2008_all_states.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 1)/Datasets/2008_swing_states.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 1)/Datasets/2008_swing_states.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 1)/Datasets/belmont.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 1)/Datasets/belmont.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 1)/Datasets/michelson_speed_of_light.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 1)/Datasets/michelson_speed_of_light.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 1)/Instructions/Chapter 1 - Graphical exploratory data analysis.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 1)/Instructions/Chapter 1 - Graphical exploratory data analysis.md -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 1)/Instructions/Chapter 2 - Quantitative exploratory data analysis.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 1)/Instructions/Chapter 2 - Quantitative exploratory data analysis.md -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 1)/Instructions/Chapter 3 - Thinking probabilistically-- Discrete variables.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 1)/Instructions/Chapter 3 - Thinking probabilistically-- Discrete variables.md -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 1)/Instructions/Chapter 4 - Thinking probabilistically-- Continuous variables.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 1)/Instructions/Chapter 4 - Thinking probabilistically-- Continuous variables.md -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 1)/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 1)/Slides/Slides.zip -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Chapter 1 - Parameter estimation by optimization.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Chapter 1 - Parameter estimation by optimization.py -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Chapter 2 - Bootstrap confidence intervals.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Chapter 2 - Bootstrap confidence intervals.py -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Chapter 3 -Introduction to hypothesis testing.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Chapter 3 -Introduction to hypothesis testing.py -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Chapter 4 -Hypothesis test examples.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Chapter 4 -Hypothesis test examples.py -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Chapter 5 - Putting it all together - a case study.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Chapter 5 - Putting it all together - a case study.py -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Datasets/anscombe.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Datasets/anscombe.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Datasets/bee_sperm.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Datasets/bee_sperm.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Datasets/female_literacy_fertility.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Datasets/female_literacy_fertility.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Datasets/finch_beaks_1975.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Datasets/finch_beaks_1975.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Datasets/finch_beaks_2012.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Datasets/finch_beaks_2012.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Datasets/fortis_beak_depth_heredity.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Datasets/fortis_beak_depth_heredity.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Datasets/frog_tongue.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Datasets/frog_tongue.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Datasets/mlb_nohitters.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Datasets/mlb_nohitters.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Datasets/scandens_beak_depth_heredity.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Datasets/scandens_beak_depth_heredity.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Datasets/sheffield_weather_station.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Datasets/sheffield_weather_station.csv -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Instructions/Chapter 1 - Parameter estimation by optimization.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Instructions/Chapter 1 - Parameter estimation by optimization.md -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Instructions/Chapter 2 - Bootstrap confidence intervals.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Instructions/Chapter 2 - Bootstrap confidence intervals.md -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Instructions/Chapter 3 - Introduction to hypothesis testing.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Instructions/Chapter 3 - Introduction to hypothesis testing.md -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Instructions/Chapter 4 - Hypothesis test examples.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Instructions/Chapter 4 - Hypothesis test examples.md -------------------------------------------------------------------------------- /Statistical Thinking in Python (Part 2)/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Statistical Thinking in Python (Part 2)/Slides/Slides.zip -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Chapter 1 - Classification.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Chapter 1 - Classification.py -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Chapter 2 - Regression.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Chapter 2 - Regression.py -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Chapter 3 - Fine-tuning your model.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Chapter 3 - Fine-tuning your model.py -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Chapter 4 - Preprocessing and pipelines.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Chapter 4 - Preprocessing and pipelines.py -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Dataset/auto.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Dataset/auto.csv -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Dataset/boston.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Dataset/boston.csv -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Dataset/diabetes.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Dataset/diabetes.csv -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Dataset/gm_2008_region.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Dataset/gm_2008_region.csv -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Dataset/house-votes-84.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Dataset/house-votes-84.csv -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Dataset/white-wine.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Dataset/white-wine.csv -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Dataset/winequality-red.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Dataset/winequality-red.csv -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Instructions/Chapter 1 - Classification.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Instructions/Chapter 1 - Classification.md -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Instructions/Chapter 2 - Regression.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Instructions/Chapter 2 - Regression.md -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Instructions/Chapter 3 Fine-tuning your model.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Instructions/Chapter 3 Fine-tuning your model.md -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Instructions/Chapter 4 Preprocessing and pipelines.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Instructions/Chapter 4 Preprocessing and pipelines.md -------------------------------------------------------------------------------- /Supervised Learning with scikit-learn/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Supervised Learning with scikit-learn/Slides/Slides.zip -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Chapter 1 - Clustering for dataset exploration.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Chapter 1 - Clustering for dataset exploration.py -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Chapter 2 - Visualization with hierarchical clustering and t-SNE.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Chapter 2 - Visualization with hierarchical clustering and t-SNE.py -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Chapter 3 - Decorrelating your data and dimension reduction.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Chapter 3 - Decorrelating your data and dimension reduction.py -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Chapter 4 - Discovering interpretable features.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Chapter 4 - Discovering interpretable features.py -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Datasets/Grains.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Datasets/Grains.zip -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Datasets/Musical artists.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Datasets/Musical artists.zip -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Datasets/Wikipedia articles.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Datasets/Wikipedia articles.zip -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Datasets/company-stock-movements-2010-2015-incl.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Datasets/company-stock-movements-2010-2015-incl.csv -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Datasets/eurovision-2016.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Datasets/eurovision-2016.csv -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Datasets/fish.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Datasets/fish.csv -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Datasets/lcd-digits.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Datasets/lcd-digits.csv -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Datasets/wine.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Datasets/wine.csv -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Instructions/Chapter 1 - Clustering for dataset exploration.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Instructions/Chapter 1 - Clustering for dataset exploration.md -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Instructions/Chapter 2 - Visualization with hierarchical clustering and t-SNE.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Instructions/Chapter 2 - Visualization with hierarchical clustering and t-SNE.md -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Instructions/Chapter 3 - Decorrelating your data and dimension reduction.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Instructions/Chapter 3 - Decorrelating your data and dimension reduction.md -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Instructions/Chapter 4 - Discovering interpretable features.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Instructions/Chapter 4 - Discovering interpretable features.md -------------------------------------------------------------------------------- /Unsupervised Learning in Python/Slides/Slides.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AmoDinho/datacamp-python-data-science-track/HEAD/Unsupervised Learning in Python/Slides/Slides.zip --------------------------------------------------------------------------------