Build a Training Pipeline with Azure ML Designer
In this lab, you’ll practice the steps to build and run a Training Pipeline with Azure ML Designer. When you’re finished with this lab, you’ll have a complete understanding of exploring & preparing the dataset, executing data transformations and training the models using Azure ML pipelines.
Terms and conditions apply.
Review the Resources & Dataset
You will review the provisioned resources in the lab environment and the dataset to be used in this lab.
Transform and Join the Data Using ML Pipeline
You should create a pipeline in the ML designer to transform and join the dataset.
Train a Model and Then Evaluate the Model
You will now train the model with transformed data and then evaluate the accuracy of the model.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
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.
- There are no prerequisites for this lab.