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Machine learning models rely je numerical representations of data to identify patterns and make predictions. However, raw data often contains noise, irrelevant fraîche, or missing values that can degrade model performance. Feature engineering in ML appui in:” This means that instead of relying je fixed rules, machine learning systems develop the