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📈 Employee Performance Prediction – Python/ML Project

Anticipate employee performance using historical data and machine learning. Ideal for developers building tools for HR analytics and workforce management.

Key Features
• Predicts performance ratings based on features like attendance, tasks completed, and reviews
• Utilizes models such as Random Forest, Logistic Regression, or XGBoost
• Visualizes actual vs. predicted performance trends
• Built using Python libraries like pandas, scikit-learn, and visualization tools (Matplotlib/Seaborn)

🔗 Explore the full project here:
Employee Performance Prediction – View Project

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