Predicting employee attrition entails gathering historical data on employees, identifying key features, training machine learning models, and deploying them for real-time predictions to aid in retention strategies and organizational stability. Regular monitoring and updates ensure ongoing effectiveness.

This project uses HR analytics to identify key factors contributing to high employee attrition rates, helping organizations understand and mitigate turnover issues.

This repository contains a Power Bi dashboard of IBM HR Analytics to answer some questions about the employee attrition and performance data. This repository can be used as a starting point for anyone who wants to learn how to use Power Bi to analyze data.

Developed an interactive HR attrition analysis dashboard using Power BI to gain insights into employee turnover and identify key attrition reasons within the organization. By analyzing attrition trends and visualizing relevant metrics, the dashboard helps HR professionals understand the underlying causes of attrition.

Power BI attrition data dashboard

HR Analytics to analyze attrition

The goal of this project is to analyze employee retention data to uncover insights that can help improve retention strategies. By identifying key factors that influence employee attrition, we aim to provide actionable recommendations for enhancing employee satisfaction and retention rates.

IBM is an MNC and Attrition is a major risk to service-providing organizations where experienced people are the assets Here, I've created a program with Logistic Regression which would analyze an Organization Dataset and explore the attrition rate for various parameters and help in predicting the employees who are likely to leave.

This project aims to predict employee attrition using ensemble learning techniques on the HR Employee Attrition dataset. The goal is to identify factors that contribute to employee attrition and build accurate prediction models to assist HR departments in managing employee retention.

The 3 projects files to MeriSKILL is presented here

A Dashboard made in Excel showing the trend of how employees left the organization.

In this project, I visualized and analyzed a company's Human Resource dataset using the Tableau BI tool in a bid to draw insights that are set to gauge the company's attrition rate.

CS3120 Introduction to Data Science | Employee Attrition in Marvelous Construction | Project | Semester 04

Employee attrition prediction system. | Framework: Flask (Python), Bootstrap.

This GitHub repository hosts a comprehensive HR attrition analysis report, providing valuable insights into employee turnover trends within an organization. The report includes in-depth statistical analysis, data visualizations, and actionable recommendations to help HR professionals and business leaders make informed decisions to reduce attrition.

Employee AttritionArmor is a data-driven, machine learning project that generates valuable insights and predicts the attrition of employees in an organization.

An analysis on employee attrition

Analyzing factors that lead to employee attrition and explore important questions (PowerBI Dashboard)