Technical requirements

You need to complete the following technical requirements 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 Domain using Quick setup, as described here: https://docs.aws.amazon.com/sagemaker/latest/dg/onboard-quick-start.html.

Note

If you have already onboarded a SageMaker Domain from a previous exercise, you do not need to perform step 2 again.

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...