amar-belkhede / churn-prediction

BE Project - Customer Churn Prediction Flask App

Executing the files

To create the model.pkl file using the script:

python model.py

To launch the flask app in the web-browser:

python server.py

Enter any of the values from the dataset to test the model.

Docker Image for the model

Find the Docker Image of the webapp here. Follow the instructions in the readme to run the Flask Webapp.

Results

1. Entering customer information in the given fields

2. Output given by our Application