CSE343, Machine Learning Course Project, IIIT Delhi, Monsoon 2021

This repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management

This project involves Employee Attrition Prediction using various data visualisation techniques & machine learning models. The repository consists of the .ipynb file and files used for deploying the ML model on 'Heroku' using the Flask framework.

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…

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…

This app allows users to explore key factors for employee attrition. Survey data can be filtered by gender, age, and department.

Uncover the factors that lead to employee attrition using IBM Employee Data

In this project, the team strives to use machine learning principles to predict employee attrition, provide managerial insights to prevent attrition, and finally rule out and present the factors that lead to attrition.

Clustering employee performances to predict resignation likelihood and develop strategies for employee retention

In this project I did Complete EDA, and Build a ML model that can accurately predict whether an Employee will be leave a company or not based on different factors.

A Power BI Dashboard analyzing employee attrition to explore key factors behind employee turnover.

An HR Analytics Dashboard built using Tableau to analyze employee attrition trends and provide actionable workforce insights.

Excel dashboard analyzing employee attrition and key drivers of turnover

Uncover the factors that lead to employee attrition at IBM

Power BI dashboard analyzing employee attrition and retention drivers

In the repository project regarding employee resignation prediction using ensemble learning and tree-based machine learning models with FastAPI.

This project focuses on predicting the attrition rate of employees by using different ML algorithms. The dataset is a fictional data taken from Kaggle

Understanding and predicting employee's attrition

Analyzing 1,470 IBM employees to find why they leave — Python, SQL, Interactive Dashboard

End-to-End Data Analyst project on employee attrition using Python, MySQL, and Logistic Regression. Covers full EDA, SQL analytics, and predictive modeling for HR decision-making, risk segmentation, business KPIs, and actionable retention strategy.