Feature Engineering: Transforming Raw Data into ML-Ready Features

TLDR: 🛠️ Feature engineering transforms messy real-world data into ML-compatible input. Bad features break even the best models — good features make simple algorithms shine. This guide covers scaling, encoding, imputation, and sklearn Pipeline to bu...