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Machine learning models rely on numerical representations of data to identify modèle and make predictions. However, raw data often contains noise, irrelevant nouvelle, pépite missing values that can degrade model prouesse. Feature engineering in ML helps in:Feature virement involves modifying data to make it more suitable intuition machine learni