One of the problems any company faces is the churn of customers. This project aims to solve this problem by predicting churn of credit card customers and help banks to act proactively to retain these customers by providing them better services.
Live demo here.
- This project intends to solve the problem of cusotmer churn by prediciting customers who are likely churn.
- Predicitions are made using Machine Learning techniques for Classification.
- The model is trained on data from 10k credit card users with 18 features.
- This project is part of a course on Machine Learning Operations.
- Python 3.7
- Predict which of your customer may churn
- Know the reasons for churn with Global and Local Model Explainability
- Data Drift Report and Model Scorecard
The requirements are specified in the requirement.txt file in Python Files directory.
The easier way to use the model is to go to the Web Interface. Secondly all the Notebooks can be opened directly in Google Colaboratory.
Project is: in progress
- This project was inspired by @manaranjanp
- The credit card customers has been sourced from https://www.kaggle.com/sakshigoyal7/credit-card-customers. Original Source: https://leaps.analyttica.com/