In this hands-on lab, you will become familiar with creating a machine learning workspace, creating compute resources, and programmatically developing a multi-step pipeline in Azure Machine Learning.
Successfully complete this lab by achieving the following learning objectives:
- Create a Workspace
Create a workspace in which you will build your diabetes research pipeline. Use the same location as your lab provided resource group for all resources.
- Create Compute Resources
Create a compute instance to both run your notebook and execute the pipeline workload.
- Create and Run a Pipeline
Create a pipeline to prepare and train the diabetes data. It should include multiple steps that call Python scripts and utilize Microsoft’s open diabetes dataset.
To utilize the existing Jupyter notebook with all of the necessary steps to create and run the pipeline already preconfigured, clone the repo from GitHub.