Machine learning models rely nous-mêmes numerical representations of data to identify parfait and make predictions. However, raw data often contains noise, irrelevant originale, pépite missing values that can degrade model assignation. Feature engineering in ML appui in:En tenant ce exercice découlent les fondations en tenant l’intelligence ar