Machine Learning based Employee Attrition Prediction and Layoff Prediction System | Python Project
Machine Learning based Employee Attrition Prediction and Layoff Prediction System | Python Final Year IEEE Project.
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🔗Email: [email protected],
🌐Website: https://www.jpinfotech.org
📌Our Proposed Project Title: Machine Learning based Employee Attrition Prediction and Layoff Prediction System
💡Implementation: Python.
🔬Algorithm / Model Used: Random Forest Classifier, Bagging Classifier & Gradient Boosting Regressor, Random Forest Regressor.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.3000/
📘Project Abstract:
👉In this project we propose a new unique concept of integrating both Employee attrition and Employee layoff.
👉The project titled "Machine Learning-based Employee Attrition Prediction and Layoff Prediction System" aims to leverage advanced machine learning techniques to accurately predict employee attrition and potential layoffs within organizations.
👉Developed using Python for the backend and incorporating HTML, CSS, and JavaScript for the frontend, this system utilizes the Flask web framework to ensure seamless integration and deployment.
👉The primary goal of this project is to provide organizations with valuable insights to preemptively address employee turnover and layoffs, thereby enhancing workforce management and strategic planning.
🚀IEEE Base Paper Title: Analyzing Employee Retention Factors using Machine Learning.
📍REFERENCE:
Moshiur Rahman; Md Rashedul Islam; Partho Bala; Abdus Sattar, “Analyzing Employee Retention Factors using Machine Learning”, IEEE CONFERENCE, 2024.
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