Using the IBM HR Analytics Employee Attrition Dataset, this project predicts employee turnover with machine learning. It analyzes features like job satisfaction and income using Random Forest and XGBoost, addressing class imbalance with SMOTE. The study provides insights to enhance retention strategies.