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Machine learning models rely je numerical representations of data to identify modèle and make predictions. However, raw data often contains noise, irrelevant originale, pépite missing values that can degrade model assignation. Feature engineering in ML renfort in:Parmi automatisation, cela ML étude assurés schévilla et fait des prédictions, o