Salifort-Motors-Predicting-Employee-Turnover-and-Improving-Retention-Analysis-and-Modeling Cyberoctane29 · COMPLETED

Employee attrition analysis for Salifort Motors using EDA, statistical analysis, and machine learning. Developed Logistic Regression, Decision Tree, and Random Forest models to predict turnover risk, then translated findings into a Power BI analytics report with workforce insights, model eval, and HR retention strategies. For Kaggle notebook check:

github.com/Cyberoctane29/Salifort-Motors-Predicting-Employee-Turnover-and-Improving-Retention-Analysis-and-Modeling · ★ 2 · Forks 0 · Size 123.8 MB

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