Use AutoML and Hyperdrive to Automate Machine Learning
1 h 0 m
Lab Overview
In this lab, you want to see if there are models that perform better than the one you might manually create. You decide to use Azure Machine Learning service’s AutoML and HyperDrive to simultaneously execute a number of different types of classification models, compare the results, and recommend the best performing model. This will save you a lot of time picking the best model so you can get the solution delivered sooner.

Related Learning Path(s):
DP-100: Designing and Implementing an Azure Data Science Solution on Azure
  • Understand Azure Machine Learning Automated Machine Learning using a Python Notebook
In this exercise, you will deploy and configure the Azure Machine Learning Workspace.
In this exercise, you will train a model using the Azure Machine Learning Automated Machine Learning Feature. This will allow you to quickly analyze whether there are better algorithms for your solution.
Real-Time Lab
Not Registered?
Create Account
Already Registered?
What are Labs?

Labs provide a live environment to get hands-on experience using the same tools and services in the real world.

Learn More