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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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Lab platform
Lab Info
Level
Beginner
Last updated
Sep 24, 2025
Duration
1h 0m

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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.

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