Creating a Regression Model with Azure ML Designer

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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 Info

Level

Beginner

Last updated

Sep 24, 2025

Duration

1h 0m

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.
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.
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.
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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