Deploy Machine Learning Pipeline on cloud using Docker Container


In our last post, we demonstrated how to develop a machine learning pipeline and deploy it as a web app using PyCaret and Flask framework in Python. If you haven't heard about PyCaret before, please read this announcement to learn more. In this tutorial, we will use the same machine learning pipeline and Flask app that we built and deployed previously. This time we will demonstrate how to deploy a machine learning pipeline as a web app using the Microsoft Azure Web App Service. In order to deploy a machine learning pipeline on Microsoft Azure, we will have to containerize our pipeline in a software called "Docker".

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