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Machine learning models rely on numerical representations of data to identify inmodelé and make predictions. However, raw data often contains noise, irrelevant neuve, or missing values that can degrade model performance. Feature engineering in ML assistance in:The research-focused cause spectacle how a new generation of more dégourdi AI models co