├── Course_Notes ├── .DS_Store ├── CourseOverview.pdf ├── Machine Learning Section.pdf ├── Python-Crash-Course │ ├── .DS_Store │ ├── .ipynb_checkpoints │ │ ├── Python Crash Course Exercises - Solutions-checkpoint.ipynb │ │ └── Python Crash Course Exercises-checkpoint.ipynb │ ├── Python Crash Course Exercises - Solutions.ipynb │ ├── Python Crash Course Exercises.ipynb │ └── Python Crash Course.ipynb ├── Spark Streaming │ ├── .ipynb_checkpoints │ │ └── Introduction to Spark Streaming-checkpoint.ipynb │ ├── Introduction to Spark Streaming.ipynb │ └── TweetRead.py ├── SparkDataFrameBasics.pdf ├── SparkOverview.pptx ├── Spark_DataFrame_Project_Exercise │ ├── Spark DataFrames Project Exercise - SOLUTIONS.ipynb │ ├── Spark DataFrames Project Exercise.ipynb │ └── walmart_stock.csv ├── Spark_DataFrames │ ├── .DS_Store │ ├── .ipynb_checkpoints │ │ ├── DataFrame_Basic_Operations-checkpoint.ipynb │ │ ├── DataFrame_Basics-checkpoint.ipynb │ │ ├── Dates_and_Timestamps-checkpoint.ipynb │ │ ├── GroupBy_and_Aggregate_Functions-checkpoint.ipynb │ │ ├── Missing_Data-checkpoint.ipynb │ │ ├── Spark DataFrames Project Exercise - SOLUTIONS-checkpoint.ipynb │ │ └── Spark DataFrames Project Exercise-checkpoint.ipynb │ ├── ContainsNull.csv │ ├── DataFrame_Basic_Operations.ipynb │ ├── DataFrame_Basics.ipynb │ ├── Dates_and_Timestamps.ipynb │ ├── GroupBy_and_Aggregate_Functions.ipynb │ ├── Missing_Data.ipynb │ ├── appl_stock.csv │ ├── people.json │ └── sales_info.csv └── Spark_for_Machine_Learning │ ├── .DS_Store │ ├── Clustering │ ├── .DS_Store │ ├── .ipynb_checkpoints │ │ ├── Clustering Code Along-checkpoint.ipynb │ │ ├── Clustering_Code_Example-checkpoint.ipynb │ │ ├── Clustering_Consulting_Project-checkpoint.ipynb │ │ ├── Clustering_Consulting_Project_SOLUTIONS-checkpoint.ipynb │ │ └── Random_Forest_Doc_Example-checkpoint.ipynb │ ├── Clustering Code Along.ipynb │ ├── Clustering_Code_Example.ipynb │ ├── Clustering_Consulting_Project.ipynb │ ├── Clustering_Consulting_Project_SOLUTIONS.ipynb │ ├── hack_data.csv │ ├── sample_kmeans_data.txt │ ├── seeds_dataset.csv │ └── seeds_dataset.txt │ ├── Linear_Regression │ ├── .DS_Store │ ├── .ipynb_checkpoints │ │ ├── Data_Transformations-checkpoint.ipynb │ │ ├── Linear_Regression_Code_Along-checkpoint.ipynb │ │ ├── Linear_Regression_Consulting_Project-checkpoint.ipynb │ │ ├── Linear_Regression_Consulting_Project_SOLUTIONS-checkpoint.ipynb │ │ └── Linear_Regression_Example-checkpoint.ipynb │ ├── Data_Transformations.ipynb │ ├── Ecommerce_Customers.csv │ ├── Linear_Regression_Code_Along.ipynb │ ├── Linear_Regression_Consulting_Project.ipynb │ ├── Linear_Regression_Consulting_Project_SOLUTIONS.ipynb │ ├── Linear_Regression_Example.ipynb │ ├── cruise_ship_info.csv │ ├── fake_customers.csv │ └── sample_linear_regression_data.txt │ ├── Logistic_Regression │ ├── .DS_Store │ ├── .ipynb_checkpoints │ │ ├── Log_regression_Code_Along-checkpoint.ipynb │ │ ├── Logistic_Regression_Consulting_Project-checkpoint.ipynb │ │ ├── Logistic_Regression_Consulting_Project_SOLUTIONS-checkpoint.ipynb │ │ └── Logistic_Regression_Example-checkpoint.ipynb │ ├── Logistic_Regression_Consulting_Project.ipynb │ ├── Logistic_Regression_Consulting_Project_SOLUTIONS.ipynb │ ├── Logistic_Regression_Example.ipynb │ ├── Titanic_Log_Regression_Code_Along.ipynb │ ├── customer_churn.csv │ ├── new_customers.csv │ ├── sample_libsvm_data.txt │ └── titanic.csv │ ├── Natural_Language_Processing │ ├── .DS_Store │ ├── .ipynb_checkpoints │ │ ├── NLP_Code_Along-checkpoint.ipynb │ │ └── Tools_for_NLP-checkpoint.ipynb │ ├── NLP_Code_Along.ipynb │ ├── Tools_for_NLP.ipynb │ └── smsspamcollection │ │ ├── SMSSpamCollection │ │ └── readme │ ├── Recommender_Systems │ ├── .DS_Store │ ├── .ipynb_checkpoints │ │ ├── Consulting Project - Recommender Systems-checkpoint.ipynb │ │ └── Recommender_Code_Along-checkpoint.ipynb │ ├── Consulting Project - Recommender Systems.ipynb │ ├── Meal_Info.csv │ ├── Recommender_Code_Along.ipynb │ └── movielens_ratings.csv │ └── Tree_Methods │ ├── .ipynb_checkpoints │ ├── Tree Methods Code Along-checkpoint.ipynb │ ├── Tree_Methods_Consulting_Project-checkpoint.ipynb │ ├── Tree_Methods_Consulting_Project_SOLUTION-checkpoint.ipynb │ └── Tree_Methods_Doc_Example-checkpoint.ipynb │ ├── College.csv │ ├── Tree Methods Code Along.ipynb │ ├── Tree_Methods_Consulting_Project.ipynb │ ├── Tree_Methods_Consulting_Project_SOLUTION.ipynb │ ├── Tree_Methods_Doc_Example.ipynb │ ├── dog_food.csv │ └── sample_libsvm_data.txt ├── Data Set Generator (remove me the future!) ├── .ipynb_checkpoints │ └── Creating Fake Data-checkpoint.ipynb ├── Creating Fake Data.ipynb ├── DataSets │ ├── Facebook_metrics.txt │ ├── customer_churn.csv │ ├── dataset_Facebook.csv │ ├── dog_food.csv │ └── hack_data.csv ├── fake_customers.csv ├── hello.csv ├── new_customers.csv └── test.csv ├── Python-Crash-Course ├── .ipynb_checkpoints │ ├── Python Crash Course Exercises - Solutions-checkpoint.ipynb │ └── Python Crash Course Exercises-checkpoint.ipynb ├── Python Crash Course Exercises - Solutions.ipynb ├── Python Crash Course Exercises.ipynb └── Python Crash Course.ipynb ├── README.md ├── Spark Streaming ├── .ipynb_checkpoints │ └── Introduction to Spark Streaming-checkpoint.ipynb ├── Introduction to Spark Streaming.ipynb └── TweetRead.py ├── Spark_DataFrame_Project_Exercise ├── .ipynb_checkpoints │ ├── Spark DataFrames Project Exercise - SOLUTIONS-checkpoint.ipynb │ └── Spark DataFrames Project Exercise-checkpoint.ipynb ├── Spark DataFrames Project Exercise - SOLUTIONS.ipynb ├── Spark DataFrames Project Exercise.ipynb └── walmart_stock.csv ├── Spark_DataFrames ├── .ipynb_checkpoints │ ├── DataFrame_Basic_Operations-checkpoint.ipynb │ ├── DataFrame_Basics-checkpoint.ipynb │ ├── Dates_and_Timestamps-checkpoint.ipynb │ ├── GroupBy_and_Aggregate_Functions-checkpoint.ipynb │ ├── Missing_Data-checkpoint.ipynb │ ├── Spark DataFrames Project Exercise - SOLUTIONS-checkpoint.ipynb │ └── Spark DataFrames Project Exercise-checkpoint.ipynb ├── ContainsNull.csv ├── DataFrame_Basic_Operations.ipynb ├── DataFrame_Basics.ipynb ├── Dates_and_Timestamps.ipynb ├── GroupBy_and_Aggregate_Functions.ipynb ├── Missing_Data.ipynb ├── appl_stock.csv ├── people.json └── sales_info.csv └── Spark_for_Machine_Learning ├── Clustering ├── .ipynb_checkpoints │ ├── Clustering Code Along-checkpoint.ipynb │ ├── Clustering_Code_Example-checkpoint.ipynb │ ├── Clustering_Consulting_Project-checkpoint.ipynb │ ├── Clustering_Consulting_Project_SOLUTIONS-checkpoint.ipynb │ └── Random_Forest_Doc_Example-checkpoint.ipynb ├── Clustering Code Along.ipynb ├── Clustering_Code_Example.ipynb ├── Clustering_Consulting_Project.ipynb ├── Clustering_Consulting_Project_SOLUTIONS.ipynb ├── hack_data.csv ├── sample_kmeans_data.txt ├── seeds_dataset.csv └── seeds_dataset.txt ├── Linear_Regression ├── .ipynb_checkpoints │ ├── Data_Transformations-checkpoint.ipynb │ ├── Linear_Regression_Code_Along-checkpoint.ipynb │ ├── Linear_Regression_Consulting_Project-checkpoint.ipynb │ ├── Linear_Regression_Consulting_Project_SOLUTIONS-checkpoint.ipynb │ └── Linear_Regression_Example-checkpoint.ipynb ├── Data_Transformations.ipynb ├── Ecommerce_Customers.csv ├── Linear_Regression_Code_Along.ipynb ├── Linear_Regression_Consulting_Project.ipynb ├── Linear_Regression_Consulting_Project_SOLUTIONS.ipynb ├── Linear_Regression_Example.ipynb ├── cruise_ship_info.csv ├── fake_customers.csv └── sample_linear_regression_data.txt ├── Logistic_Regression ├── .ipynb_checkpoints │ ├── Log_regression_Code_Along-checkpoint.ipynb │ ├── Logistic_Regression_Consulting_Project-checkpoint.ipynb │ ├── Logistic_Regression_Consulting_Project_SOLUTIONS-checkpoint.ipynb │ └── Logistic_Regression_Example-checkpoint.ipynb ├── Logistic_Regression_Consulting_Project.ipynb ├── Logistic_Regression_Consulting_Project_SOLUTIONS.ipynb ├── Logistic_Regression_Example.ipynb ├── Titanic_Log_Regression_Code_Along.ipynb ├── customer_churn.csv ├── new_customers.csv ├── sample_libsvm_data.txt └── titanic.csv ├── Natural_Language_Processing ├── .ipynb_checkpoints │ ├── NLP_Code_Along-checkpoint.ipynb │ └── Tools_for_NLP-checkpoint.ipynb ├── NLP_Code_Along.ipynb ├── Tools_for_NLP.ipynb └── smsspamcollection │ ├── SMSSpamCollection │ └── readme ├── Recommender_Systems ├── .ipynb_checkpoints │ ├── Consulting Project - Recommender Systems-checkpoint.ipynb │ └── Recommender_Code_Along-checkpoint.ipynb ├── Consulting Project - Recommender Systems.ipynb ├── Meal_Info.csv ├── Recommender_Code_Along.ipynb └── movielens_ratings.csv └── Tree_Methods ├── .ipynb_checkpoints ├── Tree Methods Code Along-checkpoint.ipynb ├── Tree_Methods_Consulting_Project-checkpoint.ipynb ├── Tree_Methods_Consulting_Project_SOLUTION-checkpoint.ipynb └── Tree_Methods_Doc_Example-checkpoint.ipynb ├── College.csv ├── Tree Methods Code Along.ipynb ├── Tree_Methods_Consulting_Project.ipynb ├── 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