LABImplement 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.
Terms and conditions apply.
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.
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.
Recommended prerequisites
- Using Azure Machine Learning Studio Designer
- Classification Models
- Cross validation
