Microsoft
Develop Clustering Models with Azure ML Designer
Microsoft

Develop Clustering Models with Azure ML Designer

Taught in English

Catalin Popa

Instructor: Catalin Popa

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 Hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you'll learn

  • Create an Azure Machine Learning Workspace using the Azure Portal

  • Develop a Clustering Model in Azure ML Designer

  • Publish the model for application use

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 Hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Create a free trial account in Microsoft Azure and log into Azure using your new subscription.

  2. Create a Resource Group in preparation for creating a new Azure Machine Learning Workspace.

  3. Create an Azure Machine Learning Workspace to manage artifacts related to your machine learning workloads.

  4. Create compute targets on which to run the training process.

  5. Create a dataset and explore data.

  6. Create a pipeline in Azure Machine Learning Designer.

  7. Apply data transformations to cluster observations.

  8. Add training modules and apply a clustering algorithm.

  9. Run the training pipeline to train the model.

  10. Evaluate the clustering model by using the Evaluate Model module.

  11. Create an inference pipeline to assign new data observations.

  12. Publish the predictive service for application use.

Recommended experience

Some background data engineering/science knowledge is required. Understanding how cloud platform services work would be beneficial, but not required.

12 project images

Instructor

Catalin Popa
Microsoft
3 Courses16,698 learners

Offered by

Microsoft

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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