Employee Attrition Prediction using Data Science and HR Analytics
Predicts individual employee attrition risk from tenure, engagement and compensation features using a random-forest classifier, achieving 89% accuracy on a benchmark HR dataset.
- Project code
- AUX-DSC-1810
- Domain
- Data Science
- Type
- Software project
- Level · Year
- Intermediate · 2025-26
Technologies and components
What is included
- Complete source code
- Database / dataset and setup guide
- Project report (college format)
- PPT for review and viva
- Installation and demo support
- Viva question guidance
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View project →Frequently asked questions
Can I get the Employee Attrition Prediction using Data Science and HR Analytics project for my final year?
Yes. This project (code AUX-DSC-1810) is available as a software project kit for the 2025-26 academic year. Contact us on WhatsApp to request it.
Can this project be customised?
Yes. Features, technology and documentation can be modified to suit your guide and college requirements.
Which departments is this project suitable for?
CSE, IT, AI & DS, BCA and MCA students, and ECE students interested in software.
Get this project with full support
Ask about customisation, delivery time and viva support.
