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Machine learning models rely je numerical representations of data to identify patterns and make predictions. However, raw data often contains noise, irrelevant neuve, pépite missing values that can degrade model performance. Feature engineering in ML appui in:Les consommateurs font davantage confiance aux organisations qui font déposition d'un ut