Creating a Clustering Model with Azure ML Designer

1.5 hours
  • 3 Learning Objectives

About this Hands-on Lab

In this hands-on lab, you are working as a data scientist for The Greenery, a gardening store. After an unfortunate accident where the summer intern (we’ll call him Steve) spilled all the seeds on the floor, you’ve been asked to come up with a model that can be used to group together the seeds based on their features. Steve wants to make sure the seeds are sorted before the boss returns and finds the mess! You’ll use Azure Machine Learning studio and Azure Machine Learning designer to create a clustering model that will group together similar seeds.

Learning Objectives

Successfully complete this lab by achieving the following learning objectives:

Open the Azure ML Studio and Create a New Dataset

In the Azure ML studio, create a new dataset using the seed data file from Microsoft.

Review the Dataset

Take a look at the data you’re working with and see if there are any missing values or values that will cause issues.

Design a Pipeline to Group Together Similar Seeds

Using the Azure Machine Learning designer, drag and drop modules to create a pipeline that will train a model to group together seeds based on their features.

Additional Resources

In this lab scenario, you are working as a data scientist for The Greenery, a gardening store. After an unfortunate accident where the summer intern (we'll call him Steve) spilled all the seeds on the floor, you’ve been asked to come up with a model that can be used to group together the seeds based on their features.

Use Azure Machine Learning studio and Azure Machine Learning designer to create a clustering model that will group together similar seeds.


Log in to the Azure portal using the credentials provided on the lab page. Be sure to use an incognito or private browser window to ensure you're using the lab account rather than your own.

What are Hands-on Labs

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Sign In
Welcome Back!

Psst…this one if you’ve been moved to ACG!

Get Started
Who’s going to be learning?