Feature engineering is the process of transforming raw data into meaningful inputs for machine learning models. It boosts model performance by creating, selecting, and refining features.
Feature engineering is the process of transforming raw data into meaningful inputs for machine learning models. It boosts model performance by creating, selecting, and refining features.