• Online, Self-Paced
Course Description

Machine learning classification models are used to predict the class or category that an item belongs to. For example, using patient characteristics such as age, weight, and BMI to predict if they are at risk for specific diseases. In this course, you'll learn about using classification models in the Azure Machine Learning Studio.

You'll explore the available types of classification models and the steps required to train a classification model. Next, you'll learn the ideal metrics for determining the best classification model to use for the given data. Finally, you'll examine how to use an existing pipeline to create a new inference pipeline and create and deploy a predictive service for a classification model.

This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.

Learning Objectives

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Framework Connections

The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.