Predict Income Levels Using Azure Machine Learning Studio

Beginner

40 students completed the lab in ~30m

Total available time: 50m

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Lab Overview

Microsoft Azure Machine Learning Studio is a drag-and-drop tool that allows you to visually and collaboratively build, test, and deploy machine learning models. In this Lab, you will predict income levels using census data and compare the performance of two trained models in Azure Machine Learning Studio. You will see how easy it is to build powerful models without having to write a single line of code!

Lab Objectives

Upon completion of this Lab you will be able to:

  • Build and evaluate machine learning models with Azure Machine Learning Studio Experiments
  • Compare models from within Azure Machine Learning Studio
  • Explore datasets visually using Azure Machine Learning Studio

Lab Prerequisites

You should be familiar with:

  • Navigating the Azure Portal

Lab Environment

Before completing the Lab instructions, the environment will look as follows:

After completing the Lab instructions, the environment should look similar to:

Follow these steps to learn by building helpful cloud resources

Logging into the Microsoft Azure portal

Begin the Lab by logging into the Microsoft Azure portal

Connecting to Azure Machine Learning Studio

Connect to Azure Machine Learning Studio through a pre-created workspace

Creating an Experiment to Predict Income Levels

Create an experiment to classify individuals at high- or low-income earners

Performing the Experiment to Predict Income Levels

Run the experiment to see how well the model performs

Comparing to a Model Trained with a Subset of Features

Compare to a model with some training features removed

Deleting the Experiment

Delete the experiment to clean up the environment