IT Professional Certifications     Microsoft     Microsoft Certified: Azure Data Scientist Associate     DP-100: Designing and Implementing a Data Science Solution on Azure

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Machine learning regression models are used to predict numeric labels for the features of an item. In this course, you'll learn more about using regression models in the Azure Machine Learning Studio.
First, you'll learn about why regression models are used, the available types of regression models in machine learning, and the steps required to train a regression model. Next, you'll examine the best metrics for determining which regression model to use. You'll learn how to use a subset of data to train the regression model and run the training pipeline. Finally, you'll explore how to use an existing pipeline to create a new inference pipeline and create and deploy a predictive service.
This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.

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Objectives

DP-100 - Azure Data Scientist Associate: Machine Learning Regression Models discover the key concepts covered in this course describe what regression models are, why they are used, and the available types of regression models in Azure Machine Learning Studio describe the steps required to train a regression model describe the best metrics for determining which regression model to use use the Azure Machine Learning designer to train a regression model use a subset of data to train the regression model and run the training pipeline evaluate a regression model by using an evaluate model in Azure Machine Learning Studio use an existing pipeline to create a new inference pipeline to create a predictive service for a regression model deploy a regression model-based inference pipeline that can be used by clients summarize the key concepts covered in this course