SarinaG0/Customer-Churn-Prediction-Telecom
Machine learning project predicting telecom customer churn using Logistic Regression, Decision Tree, and Random Forest in RapidMiner (7,043 customers, 86.1% AUC)
Stars
—
Forks
—
Language
—
License
—
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SarinaG0/Customer-Churn-Prediction-Telecom"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
retentioneering/retentioneering-tools
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web...
junfengn-ctrl/uplift-modeling-customer-retention
End-to-end uplift modeling pipeline for customer retention using T-Learner and X-Learner with...
iterative/demo-bank-customer-churn
Demo DVC project training a classification model on tabular data
gattsu001/Telecom-Churn-Predictor
Predicts which telecom customers are likely to churn with 95% accuracy using engineered features...
Vegapunk-debug/customer-churn-agentic-retention-system
An end-to-end Machine Learning and Agentic AI system to predict customer churn and generate...