In this class, we will use streamlit to make a front-end application for interaction with a deployed machine learning model. We will also learn how to deploy it using streamlit cloud.
The application we will make will be to predict customer churn at a telecommunications company, using this Telco customer churn data from kaggle.
In the end, we will have an application that looks like this:
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As well as a live, functioning app, like the one seen here.