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