alaeddinee21/RH-analystics

This project predicts employee promotions using a CatBoost classifier. It preprocesses data by filling missing values, scaling numerical features, and encoding categorical data. The model pipeline includes SMOTE for handling class imbalance, aiming to accurately identify employees likely to be promoted.

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