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This repository focuses on practical feature engineering techniques for machine learning. Learn to handle missing values, balance datasets, perform interpolation, encode variables, and explore data relationships using summary statistics and visualizations. Perfect for boosting model performance with smarter data prep.
Gaurabh007/Feature_Engineering
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This repository focuses on practical feature engineering techniques for machine learning. Learn to handle missing values, balance datasets, perform interpolation, encode variables, and explore data relationships using summary statistics and visualizations. Perfect for boosting model performance with smarter data prep.
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