In this hands-on lab, you will become familiar with Automated ML and using it to build machine learning models.
Successfully complete this lab by achieving the following learning objectives:
- Create a Dataset
Utilize one of the publicly available open datasets provided by Azure, such as the San Francisco Safety Data dataset.
- Create an Experiment
Create and configure an experiment to train a classification model. To keep the lab within a reasonable timeframe, set the timeout for 30 minutes.
- Complete an Automated ML Run
Let the Automated ML run do its magic, and observe as it saves you and your team many tedious hours.