├── README.md ├── code ├── .ipynb_checkpoints │ ├── AI-Maize-checkpoint.ipynb │ ├── Comprehensive_Intro_To_Pandas-checkpoint.ipynb │ ├── Conditional_Execution_And_Loops-checkpoint.ipynb │ ├── Data_Types_In_Python-checkpoint.ipynb │ ├── Functions_In_Python-checkpoint.ipynb │ ├── Python_Fundamentals-checkpoint.ipynb │ ├── String_And_String_Operation-checkpoint.ipynb │ ├── Visualization_In_Python-checkpoint.ipynb │ └── introduction_to_data_analysis_using_python-checkpoint.ipynb ├── AI-Maize.ipynb ├── Comprehensive_Intro_To_Pandas.ipynb ├── Conditional_Execution_And_Loops.ipynb ├── Data_Types_In_Python.ipynb ├── Functions_In_Python.ipynb ├── Image_Problems │ ├── .ipynb_checkpoints │ │ └── Face_Recognition-checkpoint.ipynb │ └── Face_Recognition.ipynb ├── Python_Fundamentals.ipynb ├── String_And_String_Operation.ipynb ├── Visualization_In_Python.ipynb ├── clustering │ ├── .ipynb_checkpoints │ │ ├── Clustering Basics-checkpoint.ipynb │ │ ├── Digits Recognizer-checkpoint.ipynb │ │ ├── Launching New Beer In Market-checkpoint.ipynb │ │ ├── bike_sharing_modelling-checkpoint.ipynb │ │ └── eda_&_ensemble_model-checkpoint.ipynb │ ├── Clustering Basics.ipynb │ ├── Digits Recognizer.ipynb │ ├── Launching New Beer In Market.ipynb │ └── beer.csv ├── decision_tress │ ├── .ipynb_checkpoints │ │ ├── Diet_Problem_Solver-checkpoint.ipynb │ │ └── claims_data_analysis-checkpoint.ipynb │ ├── ClaimsData.csv │ └── claims_data_analysis.ipynb ├── logistic_regression │ ├── .ipynb_checkpoints │ │ └── introduction_to_kaggle-checkpoint.ipynb │ ├── 08_estimating_coefficients.png │ ├── 08_r_squared.png │ ├── 08_slope_intercept.png │ ├── framingham.csv │ ├── framingham.ipynb │ ├── framingham_heart_study_anto.rmd │ ├── introduction_to_kaggle.ipynb │ ├── introduction_to_kaggle_questions.ipynb │ ├── kaggle_test.csv │ └── kaggle_train.csv ├── numpy_basics.ipynb ├── regression │ ├── .ipynb_checkpoints │ │ ├── House+Prices_Kaggle_1.0-checkpoint.ipynb │ │ ├── Regression Part 2 (MTCARS dataset)-checkpoint.ipynb │ │ ├── Regression-checkpoint.ipynb │ │ ├── Regression_Hands_On-checkpoint.ipynb │ │ ├── Untitled1-checkpoint.ipynb │ │ ├── bike_sharing-checkpoint.ipynb │ │ ├── gmm_data_prep-checkpoint.ipynb │ │ └── intro_to_regression-checkpoint.ipynb │ ├── 08_estimating_coefficients.png │ ├── 08_r_squared.png │ ├── 08_slope_intercept.png │ ├── Advertising.csv │ ├── House+Prices_Kaggle_1.0.ipynb │ ├── LinearRegressionModel.model │ ├── Regression Part 2 (MTCARS dataset).ipynb │ ├── Regression.ipynb │ ├── Regression_Hands_On.ipynb │ ├── auto-mpg.csv │ ├── bike_sharing.ipynb │ ├── gmm_data_prep.ipynb │ ├── housing.csv │ ├── intro_to_regression.ipynb │ └── regression_input.csv ├── sentiment_classification │ ├── .ipynb_checkpoints │ │ └── Twitter Sentiment Analysis-checkpoint.ipynb │ ├── Twitter Sentiment Analysis.ipynb │ ├── screenshot_Saniity_Checker_Final_Model.ipynb │ ├── test_tweets_anuFYb8.csv │ └── train_E6oV3lV.csv └── web_scraping │ ├── .ipynb_checkpoints │ ├── DSIL_Scraper-checkpoint.ipynb │ ├── Untitled-checkpoint.ipynb │ └── Web_Scraping_Intro-checkpoint.ipynb │ ├── DSIL_Scraper.ipynb │ ├── Web_Scraping_Intro.ipynb │ ├── attendess_speaker_details.csv │ └── company_details.csv ├── data ├── BicycleWeather.csv ├── Seattle2014.csv ├── auto-mpg.csv ├── births.csv ├── california_cities.csv ├── framingham.csv ├── introduction_to_data_analysis_using_python.ipynb ├── president_heights.csv ├── state-abbrevs.csv ├── state-areas.csv ├── state-population.csv ├── weather_modified.csv └── weather_year.csv └── exercises └── pandas_exercises ├── 01_Getting_&_Knowing_Your_Data ├── Chipotle │ ├── Exercise_with_Solutions.ipynb │ ├── Exercises.ipynb │ └── Solutions.ipynb ├── Occupation │ ├── Exercise_with_Solution.ipynb │ ├── Exercises.ipynb │ └── Solutions.ipynb └── World Food Facts │ ├── Exercises.ipynb │ ├── Exercises_with_solutions.ipynb │ └── Solutions.ipynb ├── 02_Filtering_&_Sorting ├── .DS_Store ├── Chipotle │ ├── Exercises.ipynb │ ├── Exercises_with_solutions.ipynb │ └── Solutions.ipynb ├── Euro12 │ ├── Euro_2012_stats_TEAM.csv │ ├── Exercises.ipynb │ ├── Exercises_with_Solutions.ipynb │ └── Solutions.ipynb └── Fictional Army │ ├── Exercise.ipynb │ ├── Exercise_with_solutions.ipynb │ └── Solutions.ipynb ├── 03_Grouping ├── Alcohol_Consumption │ ├── Exercise.ipynb │ ├── Exercise_with_solutions.ipynb │ └── Solutions.ipynb ├── Occupation │ ├── Exercise.ipynb │ ├── Exercises_with_solutions.ipynb │ └── Solutions.ipynb └── Regiment │ ├── Exercises.ipynb │ ├── Exercises_solutions.ipynb │ └── Solutions.ipynb ├── 04_Apply ├── Students_Alcohol_Consumption │ ├── Exercises.ipynb │ ├── Exercises_with_solutions.ipynb │ ├── Solutions.ipynb │ └── student-mat.csv └── US_Crime_Rates │ ├── Exercises.ipynb │ ├── Exercises_with_solutions.ipynb │ ├── Solutions.ipynb │ └── US_Crime_Rates_1960_2014.csv ├── 05_Merge ├── Auto_MPG │ ├── Exercises.ipynb │ ├── Exercises_with_solutions.ipynb │ ├── Solutions.ipynb │ ├── cars1.csv │ └── cars2.csv ├── Fictitous Names │ ├── Exercises.ipynb │ ├── Exercises_with_solutions.ipynb │ └── Solutions.ipynb └── Housing Market │ ├── Exercises.ipynb │ ├── Exercises_with_solutions.ipynb │ └── Solutions.ipynb ├── 06_Stats ├── US_Baby_Names │ ├── Exercises.ipynb │ ├── Exercises_with_solutions.ipynb │ ├── Solutions.ipynb │ └── US_Baby_Names_right.csv └── Wind_Stats │ ├── Exercises.ipynb │ ├── Exercises_with_solutions.ipynb │ ├── Solutions.ipynb │ ├── wind.data │ └── wind.desc ├── 07_Visualization ├── Chipotle │ ├── Exercise_with_Solutions.ipynb │ ├── Exercises.ipynb │ └── Solutions.ipynb ├── Online_Retail │ ├── Exercises.ipynb │ ├── Exercises_with_solutions_code.ipynb │ ├── Online_Retail.csv │ └── Solutions.ipynb ├── Scores │ ├── Exercises.ipynb │ ├── Exercises_with_solutions_code.ipynb │ └── Solutions.ipynb ├── Tips │ ├── Exercises.ipynb │ ├── Exercises_with_code_and_solutions.ipynb │ ├── Solutions.ipynb │ └── tips.csv └── Titanic_Desaster │ ├── Exercises.ipynb │ ├── Exercises_code_with_solutions.ipynb │ ├── Solutions.ipynb │ └── train.csv ├── 08_Creating_Series_and_DataFrames └── Pokemon │ ├── Exercises-with-solutions-and-code.ipynb │ ├── Exercises.ipynb │ └── Solutions.ipynb ├── 09_Time_Series ├── Apple_Stock │ ├── Exercises-with-solutions-code.ipynb │ ├── Exercises.ipynb │ ├── Solutions.ipynb │ └── appl_1980_2014.csv ├── Getting_Financial_Data │ ├── Exercises.ipynb │ ├── Exercises_with_solutions_and_code.ipynb │ └── Solutions.ipynb └── Investor_Flow_of_Funds_US │ ├── Exercises.ipynb │ ├── Exercises_with_code_and_solutions.ipynb │ └── Solutions.ipynb ├── 10_Deleting ├── .DS_Store ├── Iris │ ├── Exercises.ipynb │ ├── Exercises_with_solutions_and_code.ipynb │ └── Solutions.ipynb └── Wine │ ├── Exercises.ipynb │ ├── Exercises_code_and_solutions.ipynb │ └── Solutions.ipynb ├── 11_Indexing └── Exercises.ipynb └── Template ├── Exercises.ipynb └── Solutions.ipynb /README.md: 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