This project uses machine learning to predict employee turnover in a company. It includes data preprocessing, class imbalance visualization, interactive decision tree and random forest classifiers, feature importance analysis, and F1 score calculations. It serves as a practical example of using machine learning for HR's employee retention challenge.
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hetvimwaghela/employee-turnover-prediction
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Predict Employee Churn with Decision Trees and Random Forests
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