Feature Engineering
Back: ML Fundamentals
The process of transforming raw data into features that better represent the underlying problem to the model. Often the most impactful part of an ML pipeline, good feature engineering can matter more than algorithm choice.
Concepts
- Numerical Features
- Categorical Features
- Text Features
- Time Features
- Feature Selection
- Feature Stores