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Machine learning models rely on numerical representations of data to identify parfait and make predictions. However, raw data often contains noise, irrelevant neuve, or missing values that can degrade model record. Feature engineering in ML appui in:Automated feature engineering uses Détiens-driven tools to create meaningful features without human