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1. Aggregating-and-Analyzing-NYC-High-School-Data Aggregating-and-Analyzing-NYC-High-School-Data Public

   In this project, we aggregate several messy datasets about schools in New York city acquired from the NYC OpenData website. Afterwards we find correlations to discover some interesting insights.

   Jupyter Notebook 6

2. Predicting-Customer-Churn Predicting-Customer-Churn Public

   In this project, we use a number of machine learning models to predict whether a customer will Churn or not. This can be used by a business to incentivize high value customers to stay with them.

   Jupyter Notebook

3. plotnine-vs-ggplot2 plotnine-vs-ggplot2 Public

   A detailed comparison of Hassan Kibirige's plotnine library against R's ggplot2

   Jupyter Notebook 1

4. Random-Forests-Heart-Disease Random-Forests-Heart-Disease Public

   Predict the presence or absence of heart disease using Random Forests

   Jupyter Notebook

5. Selecting-and-Filtering-Data Selecting-and-Filtering-Data Public

   A clear and intuitive explanation of data selection and filtering in Numpy arrays vs Pandas dataframes

   Jupyter Notebook 2

6. RiA2 RiA2 Public

   Forked from kabacoff/RiA2

   Source code for R in Action, Second Edition

   R