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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.

Lab 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.
About the author
Real skill practice before real-world application
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.
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On average, you retain 75% more of your learning if you take time to practice. Hands-on labs set you up for success to make those skills stick.