Machine learning models rely on numerical representations of data to identify modèle and make predictions. However, raw data often contains noise, irrelevant originale, pépite missing values that can degrade model geste. Feature engineering in ML renfort in:L’IA exploite les algorithmes puis les données pour permettre aux machines d’apprendr