https://github.com/jgavinb/customer-churn-ml

Customer Churn prediction using various ML models. Interactive predictions via Streamlit webapp.
https://github.com/jgavinb/customer-churn-ml

joblib machine-learning pkl python scikit-learn streamlit streamlit-application streamlit-webapp

Last synced: 2 months ago
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Customer Churn prediction using various ML models. Interactive predictions via Streamlit webapp.

• Host: GitHub
• URL: https://github.com/jgavinb/customer-churn-ml
• Owner: jgavinb
• Created: 2025-02-21T04:54:57.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-21T05:03:51.000Z (over 1 year ago)
• Last Synced: 2025-02-21T05:28:34.961Z (over 1 year ago)
• Topics: joblib, machine-learning, pkl, python, scikit-learn, streamlit, streamlit-application, streamlit-webapp
• Language: Jupyter Notebook
• Homepage: https://mlchurn.streamlit.app
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# customer-churn-webapp

 Customer Churn prediction using various ML models. Interactive predictions via Streamlit webapp.

# Areas for improvement

- No oversampling was done to correct for the unbalanced dataset.

- Grid Search parameters could be expanded to acheive better tuning results (current parameters selected due to limited compute)