In this chapter, we are going to go over how to use different web frameworks for deploying machine learning and deep learning models as web services hosted on the local system. This chapter covers three main topics.
The chapter first introduces the Flask framework and how to deploy an ML model using it. Then the chapter shows how to build a standard machine learning model and deploy it using another web framework, Streamlit. Finally, the chapter covers how to deploy a trained deep learning model using the Streamlit platform again. If you are ...
