AI-powered employee attrition prediction with SHAP explainability
-
Updated
Nov 18, 2025 - Jupyter Notebook
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.
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.
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.
Employee Attrition Prediction - Predictive Systems project in AI / ML / GenAI for CSEProjects360 final year project catalog.
Responsible retention risk modeling and workforce stability decision support. Explainable ML with per-prediction SHAP attributions. Multi-page Streamlit dashboard.
Multi-signal machine learning system for employee attrition risk modeling using structured HR data, behavioral communication drift, and neural meta-learning fusion.
Predicting employee attrition with ML — AUC 0.774 | Python, Scikit-Learn, Gradient Boosting
Déploiement d'un modèle ML d'attrition avec FastAPI, PostgreSQL, tests pytest et CI/CD GitHub Actions - Projet 5 OpenClassrooms Master Data Science
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.
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)
🚀 Create insightful HR analytics with this ChatGPT-powered chatbot, featuring attrition prediction and visual dashboards for enhanced employee engagement.
Add a description, image, and links to the attrition-prediction topic page so that developers can more easily learn about it.
To associate your repository with the attrition-prediction topic, visit your repo's landing page and select "manage topics."