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What is IT Employee Turnover Prediction Model about?

This project report presents a predictive model for employee turnover in IT service providers using R programming and machine learning techniques. By analyzing key employee attributes such as job satisfaction and work-life balance, the model identifies factors influencing attrition and allows HR teams to proactively intervene. The Random Forest model outperformed Logistic Regression, demonstrating the effectiveness of data-driven approaches in enhancing employee retention strategies.

Author

sreenithivenkadesan16

Language

EN