Machine Learning training pipeline for Telco Customer Churn prediction with MLflow tracking, hyperparameter tuning, and DagsHub integration.
-
Updated
Dec 20, 2025 - Python
#
telco-churn
Here are 4 public repositories matching this topic...
An automated preprocessing pipeline for Telco Customer Churn data, including cleaning, feature engineering, and CI with GitHub Actions.
-
Updated
Dec 20, 2025 - Jupyter Notebook
End-to-End Customer Churn Prediction Pipeline using Scikit-learn, GridSearchCV, and Gradio. Automatically preprocesses Telco data, tunes Logistic Regression & Random Forest models, and deploys an interactive web app for real-time churn predictions.
python machine-learning automation scikit-learn gradio hyperparameter-tuning churn-prediction gridsearchcv joblib ml-pipeline streamlit telco-churn
-
Updated
Oct 5, 2025 - Python
Improve this page
Add a description, image, and links to the telco-churn topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the telco-churn topic, visit your repo's landing page and select "manage topics."