Deploying a model using AWS EB

Deploying your machine learning model is a crucial step in the end-to-end machine learning process. It enables you to serve the model to end users and other applications, providing valuable insights and predictions based on the healthcare data you have processed and the model you have trained. Deploying your model to a cloud service like Elastic Beanstalk ensures that it is accessible, scalable, and reliable, allowing you to focus on improving the model's performance and integrating it with other systems.

In this exercise, you will put into practice the concepts learned in Chapter 3. Your objective is to deploy your containerized machine learning model using Amazon Web Services' (AWS) Elastic Beanstalk. You will be provided with commands that need to be arranged in the correct order to deploy and view your model.