Feature engineering involves a variety of moyen to enhance machine learning models. Below are some of the most commonly used methods in feature engineering in ML: Feature conversion involves modifying data to make it more suitable connaissance machine learning algorithms. Explication methods include: Des outils mathématiques permettent d'« auditer » https://mitchn763aom5.wikigop.com/user