Edwinkorir38/Customer-Churn-Analysis-SQL-Power-BI-Python
This project analyzes telecom customer churn using Python to identify the key factors behind customer retention and cancellation. By examining behavior, service usage, and support interactions, it predicts churn risk and helps companies like Airtel build more effective, data-driven retention strategies.
Stars
—
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 21, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/Edwinkorir38/Customer-Churn-Analysis-SQL-Power-BI-Python"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
awslabs/aws-customer-churn-pipeline
An End to End Customer Churn Prediction solution using AWS services.
ChurnGuard/ChurnInsight
Sistema end-to-end de predicción de abandono. Incluye un pipeline de generación de datos...
Abhi0323/End-to-End-Employee-Churn-Prediction-with-Azure-Databricks
Developed an end-to-end machine learning solution for predicting employee churn using Azure...
joshuatochinwachi/Solana-Game-Signals-and-Predictive-Modelling
Next-generation analytics & ML-powered churn prediction for Solana gaming. Self-training models...
abideenml/Kedro-MLops-pipeline
Churn Prediction with Kedro, Kedro-Viz, and Kedro-Mlflow ❄️ 👨. PowerBI Dashboard 📊 also...