Deploying your ML models to AWS SageMaker

We faced some difficulties with Streamlit.io You can see our SageMaker implementation here. The purpose of this article is to provide a tutorial with examples showing how to deploy ML models to AWS SageMaker. This tutorial covers only deploying ML models that are not trained in SageMaker. It is more complicated to deploy your ML models that are trained outside of AWS SageMaker than training the models and deploy end-to-end within SageMaker.