AI-powered employee attrition prediction with SHAP explainability

HR Analytics Dashboard | Attrition Prediction | Power BI Style | HR Assistant

End-to-end people analytics system identifying at-risk employees with 96% AUC accuracy. Covers the full pipeline — data engineering, ML modeling, SHAP explainability, and an interactive dashboard with segment analysis and a retention What-If simulator.

Employee Attrition Prediction - Predictive Systems project in AI / ML / GenAI for CSEProjects360 final year project catalog.

Predicting participant dropout in longitudinal research studies using logistic regression

A production-ready machine learning pipeline and interactive Streamlit dashboard for predicting employee attrition. Features an automated preprocessing pipeline, SMOTE-based class balancing, XGBoost modeling, and SHAP-based interpretability for proactive HR talent management.

HR Attrition Analysis using Excel, Python, SPSS Modeler and Tableau. Predictive modeling with 91.84% accuracy identifying key drivers of employee turnover across 1,470 IBM employees.

Salifort Motors capstone: an ML system (Random Forest, AUC 0.97) that predicts employee attrition and turns it into specific HR retention actions. Live Streamlit dashboard + full analysis notebook.

Predicting employee attrition with ML — AUC 0.774 | Python, Scikit-Learn, Gradient Boosting

Multi-signal machine learning system for employee attrition risk modeling using structured HR data, behavioral communication drift, and neural meta-learning fusion.

A Streamlit-based web app that predicts employee attrition using machine learning. Upload employee data and get instant predictions on who is likely to leave.

Predictive analytics and machine learning pipeline for analyzing HR employee attrition.

XYlofy-AI Internship Week 2: Predicts whether an employee is likely to leave the company using HR analytics data.

Prédiction du taux d'attrition RH pour HumanForYou. Projet d'Analyse de Données (EDA) et de Machine Learning pour identifier les facteurs de turnover des employés. (Projet Ingénieur A4)

Enterprise HR Data Warehouse with Attrition Prediction — PostgreSQL, Python, XGBoost, Power BI

AURA (Attrition Understanding & Retention Analytics) is an interactive HR analytics web application designed to help organizations understand and predict employee attrition. The platform combines data visualization, predictive analytics, and AI-driven insights to identify employees at risk of leaving and uncover the key factors driving attrition.