A machine learning model to predict customer churn using Telco dataset and deployed using Streamlit.
- EDA and preprocessing
- Model training (RandomForest, Logistic Regression, etc.)
- Streamlit app for prediction
- Deployed locally
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Install dependencies:
pip install -r requirements.txt
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Train the model:
python train_model.py
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Run the app:
streamlit run app.py
Dataset used from Kaggle: Telco Customer Churn