Predict employee voluntary turnover using a rank-constrained decision tree with isotonic calibration and temporal cross-validation.
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Updated
Oct 16, 2025
Predict employee voluntary turnover using a rank-constrained decision tree with isotonic calibration and temporal cross-validation.
Analyze employee attrition trends using IBM's fictional HR dataset. This intermediate-level project leverages Python, machine learning, SQL, and Excel to uncover key factors influencing turnoversuch as job satisfaction, income, and work-life balanceempowering data-driven HR decisions and retention strategies.
This project demonstrates predictive modeling for employee turnover factors for an automotive manufacturer
Sistema Enterprise de People Analytics com Deploy em Nuvem. Predição de Turnover com 80% de Recall usando Scikit-Learn e Streamlit.
Prédiction du turnover des employés chez Salifort Motors via l'analyse de données RH et le Machine Learning (Random Forest/XGBoost). Projet Capstone Google Advanced Data Analytics.
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