[**Feature Engineering**](https://en.wikipedia.org/wiki/Feature_engineering) is the process of **creating, transforming, or selecting input variables** (features) to improve model performance. It’s one of the most critical steps in any machine learning pipeline ... especially for structured/tabular data.