nafisalawalidris/Customer-Churn-Prediction-Model
This repository contains a Customer Churn Prediction Model built using Python and machine learning techniques. The model analyses customer data to identify those at risk of churn, helping businesses implement effective retention strategies.
No commits in the last 6 months.
Stars
1
Forks
3
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 01, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/nafisalawalidris/Customer-Churn-Prediction-Model"
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...
iterative/demo-bank-customer-churn
Demo DVC project training a classification model on tabular data
junfengn-ctrl/uplift-modeling-customer-retention
End-to-end uplift modeling pipeline for customer retention using T-Learner and X-Learner with...
Pradnya1208/Telecom-Customer-Churn-prediction
Customers in the telecom industry can choose from a variety of service providers and actively...
gattsu001/Telecom-Churn-Predictor
Predicts which telecom customers are likely to churn with 95% accuracy using engineered features...