sagnikghoshcr7/Bank-Customer-Churn-Prediction
Predict the Churn rate of a bank.
This helps bank managers and strategists identify which customers are likely to close their accounts. By analyzing customer data like credit scores, age, geography, and account balance, it predicts whether a customer will churn. The output is a clear indication of customers at risk, enabling proactive retention efforts.
No commits in the last 6 months.
Use this if you are a bank executive, branch manager, or marketing lead looking to understand and predict customer attrition from your existing client base.
Not ideal if you need a solution for predicting customer churn in a different industry, such as retail or telecommunications.
Stars
12
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 22, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sagnikghoshcr7/Bank-Customer-Churn-Prediction"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
TatevKaren/artificial-neural-network-business_case_study
Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN),...
vishal815/Customer-Churn-Prediction-using-Artificial-Neural-Network
This project involves building an Artificial Neural Network (ANN) for predicting customer...
ErayMericDev/Bank-Customer-Churn-Prediction
Predicting bank customer churn using Artificial Neural Networks (ANN) and Python.
Amazenmb/AmericanExpress-Data-Analysis-for-User-Exit-Prediction
Analysing AmEx data for predicting of User Exit
sinanw/ann-bank-customer-retention
This is a simple project that aims to create a basic Artificial Neural Network to predict if...