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Deploy ML Model as API on AWS by surekarahul is a document available to read on EtoBox.

What is Deploy ML Model as API on AWS about?

This document provides a step-by-step guide to deploying a machine learning model as an API on AWS Elastic Beanstalk. It begins by explaining the advantages of building an API for a model, such as easier updates and integration with other systems. It then walks through developing a Random Forest regression model to predict Boston housing prices using Flask and Docker. The API is containerized using Docker and deployed to AWS Elastic Beanstalk, making the model accessible to other applications on the web.

Author

surekarahul

Language

EN