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 on the resource group level. Within that resource group, you should have already deployed a machine learning resource named packt-learning-mlw, as described 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 version 3.6 or newer. You should also be familiar with working in the notebook experience within AzureML Studio, something that was covered in Chapter 8, Experimenting with Python Code.

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