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Creating a Clustering Model with Azure ML Designer
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 the Azure Machine Learning studio and Azure Machine Learning designer to create a clustering model that will group together similar seeds.
Path Info
Table of Contents
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Challenge
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.
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Challenge
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.
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Challenge
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.
What's a lab?
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.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
Guided walkthrough
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
On average, you retain 75% more of your learning if you get time for practice.