Skip to content
#

ene-to-end-machine-learning

Star

Here is 1 public repository matching this topic...

DHANA5982 / Churn-Prediction-And-Customer-Segmentation

Star 1

🚀 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 Oct 7, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the ene-to-end-machine-learning topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ene-to-end-machine-learning topic, visit your repo's landing page and select "manage topics."

Learn more