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employee-attrition

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This project is a machine learning classification problem. The objective of this project was to predict the rate of employee attrition in the current scenario based on different features. It was the classification problem. I tried three algorithms (Logistics, Decision Tree & Random Forest). But I got high accuracy score about 0.97 using random F…

  • Updated Aug 5, 2020
  • Jupyter Notebook
Employee-Attrition-Prediction-Model

Bill Gates was once quoted as saying, "You take away our top 20 employees and we [Microsoft] become a mediocre company". This statement by Bill Gates took our attention to one of the major problems of employee attrition at workplaces. Employee attrition (turnover) causes a significant cost to any organization which may later on effect its overal…

  • Updated Apr 24, 2020
  • Jupyter Notebook

machine learning based hr attrition prediction system built using python, scikit-learn and streamlit. the project analyzes employee data, predicts attrition risk, and provides interactive analytics dashboard with model insights and feature importance visualization.

  • Updated Feb 23, 2026
  • Python

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