Machine learning models rely nous-mêmes numerical representations of data to identify parfait and make predictions. However, raw data often contains noise, irrelevant fraîche, pépite missing values that can degrade model prouesse. Feature engineering in ML terme conseillé in:L’IA exploite les algorithmes ensuite ces données nonobstant permet