juliusmarkwei/Customer-Churn-EDA-Balancing-and-ML
Bank customer churn prediction using multiple ml models
This tool helps bank managers and marketing professionals predict which customers are likely to close their accounts. By inputting customer demographic and account data, you get a clear prediction of 'churn' or 'no churn', along with visualizations to understand the patterns. This allows you to proactively engage with at-risk customers.
No commits in the last 6 months.
Use this if you need a quick, visual way to identify bank customers at risk of leaving, using their account and personal details.
Not ideal if you require a highly customized, real-time churn prediction system integrated directly into your existing banking software.
Stars
10
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 22, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/juliusmarkwei/Customer-Churn-EDA-Balancing-and-ML"
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...
gattsu001/Telecom-Churn-Predictor
Predicts which telecom customers are likely to churn with 95% accuracy using engineered features...
himanshu-03/Customer-Churn-Prediction
The Customer Churn table contains information on all 7,043 customers from a Telecommunications...