Feature Engineering is the art of transforming raw data into meaningful inputs for Machine Learning models. This crucial process reshapes data, extracting or creating features that allow algorithms to better perceive underlying patterns and improve Predictive Model performance. It makes the invisible visible, empowering models to learn more effectively.