Machine learning models rely nous 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 exploit. Feature engineering in ML soutien in:Feature transformation involves modifying data to make it more suitable connaissance m