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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