Python Feature Engineering Cookbook

Table of Contents

1. Imputing Missing Data
2. Encoding Categorical Variables
3. Transforming Numerical Variables
4. Performing Variable Discretization
5. Working with Outliers
6. Extracting Features from Date and Time Variables
7. Performing Feature Scaling
8. Creating New Features
9. Extracting Features from Relational Data with Featuretools
10. Creating Features from a Time Series with tsfresh
11. Extracting Features from Text Variables