Data Preparation For Machine Learning Demo

This demo shows how to apply common transformations when preparing data for machine learning The following topics are covered:

1. One-hot encoding
2. Binning
3. Integerizing categories
4. Balancing unbalanced data
5. Splitting into training and test data