🧠 Employee Attrition Prediction (HR Analytics)

This machine learning app helps HR professionals and analysts predict whether an employee is likely to leave the organization based on multiple job-related and personal factors.

🔗 Live App: Try it on Streamlit

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📊 Features

• Predicts likelihood of employee attrition
• Based on IBM HR Analytics Dataset (from Kaggle)
• Uses a trained RandomForestClassifier model
• Built with Streamlit for easy interaction
• Supports 15+ features like Age, Income, Job Satisfaction, etc.

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🧪 Dataset

• Source: IBM HR Analytics Employee Attrition & Performance Dataset
• Includes 15 features per employee across roles, performance, income, and satisfaction

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🚀 Tech Stack

• Python
• Streamlit
• Scikit-learn
• Pandas / NumPy
• Joblib (for model serialization)

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🧠 Model Training

• Trained a RandomForestClassifier after comparing it with Logistic Regression, XGBoost, KNN, and VotingClassifier
• Used feature importance to select top 15 predictors
• Achieved 88% test accuracy

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📦 Installation (for local use)

git clone https://github.com/your-username/employee-attrition-prediction.git
cd employee-attrition-prediction
pip install -r requirements.txt
streamlit run streamlit_app.py