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Creating a Regression Model with Azure ML Designer

In this hands-on lab, you are working as a data scientist for Bike4Ever, a bike rental company. You’ve been asked to come up with a model that can be used to predict bike rentals based on factors such as weather, temperature, day of the week, and more. You’ll use Azure Machine Learning studio and Azure Machine Learning designer to create a regression model that will predict bike rentals.

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Path Info

Level
Clock icon Beginner
Duration
Clock icon 1h 0m
Published
Clock icon Dec 16, 2021

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Table of Contents

  1. Challenge

    Open the Azure ML Studio and Create a New Dataset

    In the Azure ML studio, download the dataset as a CSV file from Microsoft and use it to create a new dataset.

    Note: If at any time the Azure page is not displaying all the page elements, try adjusting your browser settings to Zoom out/in.

  2. Challenge

    Review the Dataset

    Take a look at the data you’re working with and see if there are any missing values or values that will cause issues.

  3. Challenge

    Design a Pipeline to Predict Bike Rentals

    Using the Azure Machine Learning designer, drag and drop modules to create a pipeline that will train a regression model to predict bike rentals. When setting the compute type, set it to Compute cluster.

  4. Challenge

    Review the Results

    Take a look at some of the metrics for the run. For example, the R2 score or the root mean squared error.

A Cloud Guru - Labs - Creating a Regression Model with Azure ML Designer
Author
A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

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We will provide the credentials and environment necessary for you to practice right within your browser.

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Follow along with the author’s guided walkthrough and build something new in your provided environment!

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