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 2024 - 2025.
🛒Buy Link: https://bit.ly/4fKM4Vw
(or)
To buy this project in ONLINE, Contact:
🔗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.5000/
📘Project Abstract:
Employee attrition refers to the gradual reduction of a company's workforce due to employees leaving voluntarily, such as through resignation or retirement, without immediate replacement. It can impact organizational knowledge, morale, and productivity if not properly managed. Layoffs, on the other hand, are involuntary separations initiated by the employer, often due to economic downturns, restructuring, or cost-cutting measures. Both attrition and layoffs pose significant challenges to human resource management, necessitating proactive strategies to predict and mitigate their effects.
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.
#python #machinelearningproject #pythonprojects #employee #layoffs #pythonprogramming #pythonprojectforbeginners #pythonprojectideas #pythonmachinelearning #machinelearning #machinelearningpython #finalyearproject #ieeeprojects #finalyearprojects #datascience #datascienceproject #artificialintelligenceproject #projects #deeplearning #deeplearningproject #computerscienceproject #deeplearningprojects #majorprojects #academicprojects #majorproject
