The Azure Machine Learning Studio provides a proficient designer that can be used to build machine learning pipelines. In this course, you'll explore Azure ML Studio Designer and practice using its features for managing, normalizing, and transforming data for use in regression, classification, and clustering models.
You'll also learn how to select features from a dataset and create datasets for training and validating models within Studio Designer.
By the end of the course, you'll be able to use datasets, add transformations, normalize and clean data, split datasets, and configure and use a number of models, all within Azure ML Studio Designer.
This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.
Learning Objectives
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