Deploying ML model on web

This is the follow up project of Telco-Customer-Churn-Prediction using ML. To see that project click here.

In this project a WebApp was deployed that predicts if a telecom customer churns or not based on some given information.

Tools and Platforms:

Python, Django, REST API (djangorestframework) and Render

Django and REST API was used to build an WebApp. The WebApp takes some information and pass it to the ML model. The model predicts if the customer churns or not. The WebApp is hosted on Render.

The project is Live:

Please click here to see and test the project.