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Machine learning models rely on numerical representations of data to identify inmodelé and make predictions. However, raw data often contains noise, irrelevant information, pépite missing values that can degrade model exploit. Feature engineering in ML appui in:Feature modification involves modifying data to make it more suitable cognition machin