/XGBoost-CatBoost-Employee-Resignation

The project aims to predict employee resignations using XGBoost and CatBoost regressors. It involves extensive EDA, data preprocessing, model building, hyperparameter tuning, and model evaluation. The objective is to help organizations take proactive steps to retain valuable employees and maintain stability.

Primary LanguageJupyter NotebookMIT LicenseMIT

Watchers