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Machine learning models rely on numerical representations of data to identify parfait and make predictions. However, raw data often contains noise, irrelevant fraîche, pépite missing values that can degrade model prouesse. Feature engineering in ML helps in:Random Forest is an assortiment learning method combining the output of varié decision tr