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Predicting Employee Retention Model by Ashirvad Vatsa is a document available to read on EtoBox.

What is Predicting Employee Retention Model about?

The project aims to build a Logistic Regression model to predict employee retention for a mid-sized technology company, allowing HR to proactively address retention risks. Key insights reveal that job satisfaction, performance, and tenure significantly influence retention, with recommendations including enhanced onboarding and flexible work arrangements. The model effectively identifies at-risk employees, enabling targeted interventions to reduce turnover and improve workforce stability.

Author

Ashirvad Vatsa

Language

EN