khushboopingle-coder/Telecom-Churn-Prediction

Predicting telecom customer churn using Random Forest (79.56% accuracy) + interactive Power BI dashboard | Python • Scikit-learn • Power BI

/ 100

Experimental

No License No Package No Dependents

Maintenance 13 / 25

Adoption 0 / 25

Maturity 1 / 25

Community 0 / 25

Stars

—

Forks

—

Language

Jupyter Notebook

License

—

Category

Last pushed

Mar 18, 2026

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mlops/khushboopingle-coder/Telecom-Churn-Prediction"

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...