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What is Employee Attrition Prediction Case Study about?

This thesis addresses the employee attrition problem using predictive analytics to develop a model that identifies employees at risk of leaving a company. It employs various machine learning techniques to analyze data collected from a large international energy company, highlighting the significant costs associated with employee turnover. The study emphasizes the importance of structured data-driven approaches in HR and aims to provide actionable insights for reducing attrition rates.

Author

varshinisenthil03

Language

EN