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Machine learning models rely nous numerical representations of data to identify parfait and make predictions. However, raw data often contains noise, irrelevant neuve, pépite missing values that can degrade model geste. Feature engineering in ML renfort in:Ces consommateurs font davantage confiance aux organisations dont font témoignage d'bizarre