Creating a Classification Model with AutoML in Azure Machine Learning Studio

Lab Steps

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Logging into the Microsoft Azure Portal
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Launching Azure Machine Learning Studio
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Create an Automated Machine Learning Run
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Reviewing the AutoML Run

The hands-on lab is part of this learning path

Ready for the real environment experience?

DifficultyBeginner
Time Limit2h
Students63
Ratings
4/5
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Description

Automated Machine Learning significantly reduces the amount of time and skill required to develop a production-ready model. It rapidly iterates over the various combinations of algorithms and hyperparameters and provides a recommendation on the most optimal model for a given dataset. Automated ML is based on breakthrough research from the Microsoft Research division. Experiments can be processed on various different types of computing resources such as Virtual Machines and Kubernetes that can either be local or in the cloud. 

In this lab, you will create a predictive classification model with Azure's Automated Machine Learning service to quickly discover the most optimal model for a dataset. 

Learning Objectives

Upon completion of this lab you will be able to:

  • Create an AutoML run in Azure Machine Learning Studio
  • Discover the most optimal model to use for a particular dataset

Lab Prerequisites

You should be familiar with:

  • Basic concepts of Azure Machine Learning
  • Experience with Python is not required

 

 

Environment before
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Environment after
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About the Author
Students535
Labs11
Courses1

Luke currently serves as a Cloud Labs Developer at Cloud Academy. His background is infrastructure development using Terraform. He is an Azure DevOps Engineer Expert, Azure Administrator Associate, and HashiCorp Certified - Terraform Associate.