Feature engineering is one of the most important steps in any data science project. It focuses on transforming raw data into meaningful inputs that help machine learning models perform better. Even the most advanced algorithm can fail if the input features are poorly designed. A strong feature set often makes a bigger difference than the choice of model itself. For beginners, this concept may...