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https://github.com/steveee27/customer-churn-prediction
A machine learning project to predict customer churn for a bank using XGBoost and Random Forest models. The project includes data preprocessing, feature engineering, model training with hyperparameter tuning, and deployment using Streamlit for real-time predictions.
https://github.com/steveee27/customer-churn-prediction
customer-churn-prediction machine-learning modeldeployment streamlit xgboost-classifier
Last synced: about 2 months ago
JSON representation
A machine learning project to predict customer churn for a bank using XGBoost and Random Forest models. The project includes data preprocessing, feature engineering, model training with hyperparameter tuning, and deployment using Streamlit for real-time predictions.
- Host: GitHub
- URL: https://github.com/steveee27/customer-churn-prediction
- Owner: steveee27
- License: mit
- Created: 2024-11-15T14:24:05.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-15T15:19:21.000Z (about 2 months ago)
- Last Synced: 2024-11-15T15:42:28.379Z (about 2 months ago)
- Topics: customer-churn-prediction, machine-learning, modeldeployment, streamlit, xgboost-classifier
- Language: Jupyter Notebook
- Homepage: https://customer-churn-prediction-machine-learning.streamlit.app/
- Size: 1.75 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0