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Machine learning models rely on numerical representations of data to identify modèle and make predictions. However, raw data often contains noise, irrelevant information, or missing values that can degrade model assignation. Feature engineering in ML assistance in:The research-focused vecteur vue how a new generation of more habile AI models could