├── .gitattributes ├── .ipynb_checkpoints ├── A00. Course Overview 10-09-2016-checkpoint.ipynb ├── B00. Introduction-checkpoint.ipynb ├── B01. Getting Started -checkpoint.ipynb ├── B02. First Steps With Python-checkpoint.ipynb ├── B03. Functions-checkpoint.ipynb ├── B03E. Functions Exercises-checkpoint.ipynb ├── B03S. Functions Solutions-checkpoint.ipynb ├── B04. Basic Data Structures Part 1-checkpoint.ipynb ├── B04E. Basic Data Structures Part 1 Exercises-checkpoint.ipynb ├── B04S. Basic Data Structures Part 1 Solutions-checkpoint.ipynb ├── B05. Methods-checkpoint.ipynb ├── B06. Basic Data Structures Part 2-checkpoint.ipynb ├── B06E. Basic Data Structures Part 2 Exercises-checkpoint.ipynb ├── B06S. Basic Data Structures Part 2 Solutions-checkpoint.ipynb ├── B07. Exceptions, Try & Except-checkpoint.ipynb ├── B08. Loops & Iterating-checkpoint.ipynb ├── B08E. Loops & Iterating Exercises-checkpoint.ipynb ├── B08S. Loops & Iterating Solutions-checkpoint.ipynb ├── B09. Built In Functions-checkpoint.ipynb ├── B10. Understanding, Downloading, Installing and using Python Packages-checkpoint.ipynb ├── B11. Getting Help, StackOverflow and Github-checkpoint.ipynb ├── B11E. Sandbox Exercises-checkpoint.ipynb ├── B11S. Sandbox Solutions-checkpoint.ipynb ├── D00. Introduction to Python for Data Analysis-checkpoint.ipynb ├── D01. Advanced Data Structures-checkpoint.ipynb ├── D01E. Advanced Data Structures Exercises-checkpoint.ipynb ├── D01S. Advanced Data Structures Solutions-checkpoint.ipynb ├── D02. Importing & Exporting Data with Pandas-checkpoint.ipynb ├── D03. Dataframes - Handling Data-checkpoint.ipynb ├── D03E. Dataframes - Handling Data Exercises-checkpoint.ipynb ├── D03S. Dataframes - Handling Data Solutions-checkpoint.ipynb ├── D04. Dataframes - Refining and Indexing-checkpoint.ipynb ├── D04E. Dataframes - Refining and Indexing Exercises-checkpoint.ipynb ├── D04S. Dataframes - Refining and Indexing Solutions-checkpoint.ipynb ├── D05. Dataframes Merging & Concatanating-checkpoint.ipynb ├── D05E. Dataframes Merging & Concatenating Exercises-checkpoint.ipynb ├── D05S. Dataframes Merging & Concatenating Solutions-checkpoint.ipynb ├── D06. Summary Statistics & GroupBy-checkpoint.ipynb ├── D06E. Summary Statistics & GroupBy Exercises-checkpoint.ipynb ├── D06S. Summary Statistics & GroupBy Solutions-checkpoint.ipynb ├── D07. Useful Things in Pandas-checkpoint.ipynb ├── ML00. Intro to Machine Learning-checkpoint.ipynb ├── ML99. Glossary of Terms-checkpoint.ipynb ├── V00. Introduction to Data Visualisation-checkpoint.ipynb ├── V01. Getting Started with Matplotlib-checkpoint.ipynb ├── V02. Sexy Charting with Matplotlib-checkpoint.ipynb ├── V02E. Matplotlib Exercises-checkpoint.ipynb ├── V02S. Matplotlib Solutions-checkpoint.ipynb ├── V03. Getting Started with Seaborn-checkpoint.ipynb ├── V04. Customising your Seaborn Outputs-checkpoint.ipynb ├── V04E. Seaborn Exercises-checkpoint.ipynb ├── V04S. Seaborn Solutions-checkpoint.ipynb ├── X03. Introduction to Statistics-checkpoint.ipynb ├── X04. Introduction to Machine Learning-checkpoint.ipynb └── X05. Introduction to Natural Language Processing-checkpoint.ipynb ├── 1_basics ├── B00. Introduction.ipynb ├── B01. Getting Started .ipynb ├── B02. First Steps With Python.ipynb ├── B03. Functions.ipynb ├── B03E. Functions Exercises.ipynb ├── B03S. Functions Solutions.ipynb ├── B04. Basic Data Structures Part 1.ipynb ├── B04E. Basic Data Structures Part 1 Exercises.ipynb ├── B04S. Basic Data Structures Part 1 Solutions.ipynb ├── B05. Methods.ipynb ├── B06. Basic Data Structures Part 2.ipynb ├── B06E. Basic Data Structures Part 2 Exercises.ipynb ├── B06S. Basic Data Structures Part 2 Solutions.ipynb ├── B07. Exceptions, Try & Except.ipynb ├── B08. Loops & Iterating.ipynb ├── B08E. Loops & Iterating Exercises.ipynb ├── B08S. Loops & Iterating Solutions.ipynb ├── B09. Built In Functions.ipynb ├── B10. Understanding, Downloading, Installing and using Python Packages.ipynb ├── B11. Getting Help, StackOverflow and Github.ipynb ├── B11E. Sandbox Exercises.ipynb ├── B11S. Sandbox Solutions.ipynb └── B12. Summary of the Basics section of the course.ipynb ├── 2_data_analysis ├── D00. Introduction to Python for Data Analysis.ipynb ├── D01. Advanced Data Structures.ipynb ├── D01E. Advanced Data Structures Exercises.ipynb ├── D01S. Advanced Data Structures Solutions.ipynb ├── D02. Importing & Exporting Data with Pandas.ipynb ├── D03. Dataframes - Handling Data.ipynb ├── D03E. Dataframes - Handling Data Exercises.ipynb ├── D03S. Dataframes - Handling Data Solutions.ipynb ├── D04. Dataframes - Refining and Indexing.ipynb ├── D04E. Dataframes - Refining and Indexing Exercises.ipynb ├── D04S. Dataframes - Refining and Indexing Solutions.ipynb ├── D05. Dataframes Merging & Concatanating.ipynb ├── D05E. Dataframes Merging & Concatenating Exercises.ipynb ├── D05S. Dataframes Merging & Concatenating Solutions.ipynb ├── D06. Summary Statistics & GroupBy.ipynb ├── D06E. Summary Statistics & GroupBy Exercises.ipynb ├── D06S. Summary Statistics & GroupBy Solutions.ipynb └── D07. Useful Things in Pandas.ipynb ├── 3_data_viz ├── V00. Introduction to Data Visualisation.ipynb ├── V01. Getting Started with Matplotlib.ipynb ├── V02. Sexy Charting with Matplotlib.ipynb ├── V02E. Matplotlib Exercises.ipynb ├── V02S. Matplotlib Solutions.ipynb ├── V03. Getting Started with Seaborn.ipynb ├── V04. Customising your Seaborn Outputs.ipynb ├── V04E. Seaborn Exercises.ipynb ├── V04S. Seaborn Solutions.ipynb ├── V05. Interactive plots with Bokeh.ipynb └── V05. Sandbox Challenge!.ipynb ├── 4_ml ├── .ipynb_checkpoints │ ├── ML00. Intro to Machine Learning-checkpoint.ipynb │ ├── ML00. Machine Learning Overview-checkpoint.ipynb │ ├── ML01. A Machine Learning Basics-checkpoint.ipynb │ ├── ML01. Introduction to Classification-checkpoint.ipynb │ ├── ML02. Introduction to Regression-checkpoint.ipynb │ ├── ML03. Feature Engineering-checkpoint.ipynb │ ├── ML99. Glossary of Terms-checkpoint.ipynb │ └── MLXX. Multiple Regression-checkpoint.ipynb ├── ML00. Intro to Machine Learning.ipynb ├── ML00. Machine Learning Overview.ipynb ├── ML01. Introduction to Classification.ipynb ├── ML02. Introduction to Regression.ipynb ├── ML03. Feature Engineering.ipynb ├── MLXX. Multiple Regression.ipynb └── README.md ├── 5_other ├── .ipynb_checkpoints │ ├── X04. Introduction to Machine Learning-checkpoint.ipynb~1431cb3e1aae9600dd63a1b2d4403bc864837c8b │ └── X04. Introduction to Machine Learning-checkpoint.ipynb~HEAD ├── X00. Recap & Sandbox Challenge.ipynb ├── X01. Introduction to APIs.ipynb ├── X01E.Introduction to APIs Exercies.ipynb ├── X02. Web Scraping with Python.ipynb ├── X02E. Web Scraping Exercises.ipynb ├── X03. Introduction to Statistics.ipynb ├── X04. Introduction to Machine Learning.ipynb~HEAD └── X05. Introduction to Natural Language Processing.ipynb ├── README.md ├── Training Cookbook.py ├── data ├── MOT File.csv ├── titanic.zip ├── titanic_test.csv └── titanic_train.csv ├── goodbye.ipynb ├── hello.ipynb ├── img ├── .DS_Store ├── API.png ├── Clipboard04.png ├── Launcher.jpg ├── Requests.png ├── anomaly-detection.png ├── bokeh.png ├── cell type.png ├── clustering.png ├── desktop.ini ├── desktop.png ├── gdp-per-capita.png ├── github.jpg ├── instance-based-learning.png ├── interrupt.png ├── joins.jpg ├── joins.png ├── jupyter.jpg ├── k-fold-cross-validation.png ├── lightning.png ├── linear-regression.png ├── matplot.png ├── ml-approach.png ├── model-based-learning.png ├── numpy.jpg ├── overfitting2.png ├── pandas.jpg ├── pca.png ├── plotly.png ├── rename.png ├── rmse.jpg ├── run cell.png ├── scikit.png ├── scipy.png ├── seaborn.png ├── shell.jpg ├── slack.png ├── ssl.jpg ├── stack.png ├── statsmodels.png ├── structure.png ├── t-SNE.png ├── tags.png ├── traditional-approach.png ├── train-test.png └── underfitting-overfitting.png └── overfitting2.png /.gitattributes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/te-565/python-for-analysts/HEAD/.gitattributes -------------------------------------------------------------------------------- /.ipynb_checkpoints/A00. 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