Feature Engineering: The Secret to Better Machine Learning Models
Introduction to Feature Engineering Feature engineering is a critical process in the development of machine learning models that involves selecting, modifying, or creating features from raw data to enhance model performance. In the realm of machine learning, features are the individual measurable properties or characteristics used as input variables. Properly engineered features can significantly influence…