This repository contains a machine learning project using Python and Scikit-Learn to predict employee attrition. It analyzes 1,470 employee records with 35 features, focusing on exploratory analysis, model benchmarking, and addressing class imbalance for improved accuracy.
From the README
👨💼📉 Attrition Risk Model — HR Analytics 📉👨💼 A classification-based machine learning project designed to identify at-risk employees early, using class-imbalance correction to catch far more true attrition cases than a naive baseline model. 📌 Project Overview This project analyzes HR department data using Python and Scikit-Learn to predict employee attrition and uncover the behavioral and tenure-related factors driving it. The project contains 1,470 employee records across 35 features, including distance from home, manager tenure, and total working years. The analysis focuses on exploratory analysis, benchmarking classification models, and specifically diagnosing and fixing a...
Skills
- Jupyter Notebook
