Technical requirements

The following are the technical requirements that you need to have in place before building the example implementation at the end of this chapter:

1. Complete the steps to set up the prerequisites for Amazon Sagemaker as described here: https://docs.aws.amazon.com/sagemaker/latest/dg/gs-set-up.html
2. Onboard to SageMaker Studio Domain using quick setup as described here: https://docs.aws.amazon.com/sagemaker/latest/dg/onboard-quick-start.html
3. Once you are in the Sagemaker studio interface, click on File | New | Terminal.
4. Once in the terminal, type the following commands:

   git clone https://github.com/PacktPublishing/Applied-Machine-Learning-for-Healthcare-and-Life-Sciences-using-AWS.git

You should now see a folder named Applied-Machine-Learning-for-Healthcare-and-Life-Sciences-using-AWS.

Note

If you have already cloned the repository in a previous exercise, you should already have this folder. You do not need to do step 4 again.

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