This repository provides a comprehensive educational guide on feature engineering and feature selection for machine learning practitioners. It includes implementations and examples in Python, organized as Jupyter notebooks, covering techniques like feature extraction, transformation, and selection methods. The content serves as reference material for improving ML model performance through better feature design.