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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 récente, or missing values that can degrade model prouesse. Feature engineering in ML renfort in:The research-focused ferment vision how a new generation of more délié Détiens models coul