What is feature engineering?

Feature engineering is the process of selecting and transforming raw data into meaningful inputs, called features, that help a machine learning model make better predictions. For example, turning a birth date into an age, or combining several columns into a ratio, can reveal patterns a model would otherwise miss. Good features often matter more to a model's accuracy than the choice of algorithm.