GitHub - Gaurabh007/Feature_Engineering: 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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Feature_Engg_1.ipynb		Feature_Engg_1.ipynb
Feature_Engg_2.ipynb		Feature_Engg_2.ipynb
Feature_Engg_3.ipynb		Feature_Engg_3.ipynb
Feature_Engg_4.ipynb		Feature_Engg_4.ipynb
Feature_Engg_5.ipynb		Feature_Engg_5.ipynb
Feature_Engg_6.ipynb		Feature_Engg_6.ipynb
Feature_Engg_7.ipynb		Feature_Engg_7.ipynb
Feature_Engg_8.ipynb		Feature_Engg_8.ipynb

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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.

sampling feature-engineering missing-value-handling missing-value-imputation data-encoder