Employee Turnover Analytics

As the ML Developer assigned to the HR Department, you have been asked to create ML Programs to

1. Perform data quality checks by checking for missing values if any.
2. Understand what factors contributed most to employee turnover by EDA.
3. Perform clustering of Employees who left based on their satisfaction and evaluation.
4. Handle the left Class Imbalance using the SMOTE technique.
5. Perform k-fold cross-validation model training and evaluate performance.
6. Identify the best model and justify the evaluation metrics used.
7. Suggest various retention strategies for targeted employees.

Dataset: https://www.kaggle.com/datasets/liujiaqi/hr-comma-sepcsv