Feature Engineering: The Complete Guide

What is Feature Engineering?

Feature engineering is the process of using domain knowledge of the data to create features that make machine learning algorithms work better.

Key Techniques

1. Target Encoding: Encoding categorical values based on the target mean.
2. Interaction Features: Creating features like A * B or A / B to capture relations.
3. Binning: Converting numerical features into categorical bins to handle non-linearity.