Streamlit App for the Churn exploration and prediction model

This is a main product for all customers

To explore a separate product only for customers with a Month to Month contract type open this app.

This project is a part of my Churn Value classification machine learning project. It is a web application made with a Streamlit framework. Data used in this project is from IBM Telco dataset.

Try my app here!

Files

• app.py: streamlit app file
• model.py: a script for generating the XGBoost model
• clean_churn.csv and model_weights2.mw: data file and pre-trained model
• requirements.txt: package requirements files