Creating a Regression Model with Azure ML Designer

1.5 hours
  • 5 Learning Objectives

About this Hands-on Lab

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.

Learning Objectives

Successfully complete this lab by achieving the following learning objectives:

Open the Azure ML Studio and Create a New Dataset

In the Azure ML studio, create a new dataset using the bike rental data file from Microsoft.

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.

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.

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.

Bonus: Optimization of the Model

As a fun bonus objective, feel free to tweak some settings in your pipeline to see if you can get better scores for your model.

Additional Resources

In this lab scenario, 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.

Use Azure Machine Learning studio and Azure Machine Learning designer to create a regression model that will predict bike rentals.


Log in to the Azure portal using the credentials provided on the lab page. Be sure to use an incognito or private browser window to ensure you're using the lab account rather than your own.

What are Hands-on Labs

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.

Sign In
Welcome Back!

Psst…this one if you’ve been moved to ACG!

Get Started
Who’s going to be learning?