hr-attrition-predictor

Predict employee attrition using ML + Streamlit"

🧑‍💼 HR Employee Attrition Predictor

This project uses a machine learning model to predict whether an employee will leave the company (attrition) based on HR data such as age, salary, education, and job level.

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📁 Files Included

• HR_Employee_Attrition.csv – Sample HR dataset
• app.py – Streamlit web application
• attrition_app.ipynb – Google Colab notebook for training the ML model

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🚀 Live Demo (if using ngrok)

Once hosted, you can use ngrok to expose the Streamlit app and get a public URL.

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⚙️ How to Run the Project

▶️ Option 1: Run in Google Colab

1. Upload all files (.ipynb, .csv, .py) to your Colab environment
2. Open attrition_app.ipynb and run all cells
3. Use ngrok public link to view the app

▶️ Option 2: Run Locally

# Clone the repository
git clone https://github.com/your-username/hr-attrition-predictor.git
cd hr-attrition-predictor

# Install dependencies
pip install streamlit scikit-learn pandas joblib

# Run the app
streamlit run app.py

📊 Features
Predict employee attrition (will leave / will stay)

Streamlit interface for easy input

Trained with RandomForestClassifier

Dataset encoded with LabelEncoder

Real-time prediction on user input