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ene-to-end-machine-learning

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DHANA5982 / Churn-Prediction-And-Customer-Segmentation

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🚀 End-to-end ML project: 93% accurate churn prediction + customer segmentation with Random Forest & K-Means. Features automated pipeline, Streamlit dashboard, comprehensive testing, and cross-platform deployment. Production-ready with 505K+ customer dataset analysis.

python data-science machine-learning cross-platform random-forest scikit-learn pandas pytest statistical-analysis data-analysis production-ready predictive-analytics kmeans-clustering churn-prediction business-analytics customer-segmentation customer-analytics automated-pipeline model-deployment-in-the-cloud-using-streamlit ene-to-end-machine-learning
  • Updated Aug 4, 2025
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