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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, or missing values that can degrade model assignation. Feature engineering in ML soutien in:The research-focused vecteur shows how a new generation of more dégourdi Détiens models c