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Azure Labs
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Implement Hyperparameter Tuning with Azure ML

In this lab, you’ll practice how to tune hyperparameters within Azure ML. When you’re finished with this lab, you’ll have the best possible trained model for your own use case and dataset.

* Our Labs are Available for Enterprise and Professional plans only.
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Labs - Implement Hyperparameter Tuning with Azure ML

Lab info

Rating (16)
Level
Beginner
Duration
1h 40m
Released
Jan 31, 2022

Lab author

Lab Author: Axel Sirota
Axel Sirota
Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O'Reilly Media.
  • Table of contents
  • What's a lab?
  • Prerequisites
Challenge

Register Train, Validation, and Test Datasets

You will register the necessary datasets to train and tune your model afterwards.

Challenge

Implement Hyperparameter Tuning in the Azure Machine Learning Designer

You will implement hyperparameter tuning on a classification model for delayed flights within the Azure Machine Learning Designer.

Challenge

Implement Hyperparameter Tuning with HyperDrive in the Machine Learning SDK

You will implement hyperparameter tuning with HyperDrive in the Azure Machine Learning SDK.

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Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

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Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

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Did you know?

On average, you retain 75% more of your learning if you get time for practice.

Recommended prerequisites

  • Using Azure Machine Learning Studio Designer
  • Classification Models
  • Cross validation

Start learning by doing today

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