Technical requirements

You will need to have access to an Azure subscription. Within that subscription, you will need a resource group named packt-azureml-rg. You will need to have either a Contributor or Owner Access control (IAM) role at the resource group level. Within that resource group, you should have already deployed an Azure ML resource named packt-learning-mlw. These resources should be already available to you if you followed the instructions in Chapter 2, Deploying Azure Machine Learning Workspace Resources.

You will also need to have a basic understanding of the Python language. The code snippets target Python 3.6 or newer versions. You should also be familiar with working in the notebook experience within AzureML Studio, which was covered in the previous chapter.

This chapter assumes you have registered the scikit-learn diabetes dataset in your AzureML workspace and you have created a compute cluster named cpu-sm-cluster, as described in the Defining datastores...