Skip to content

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.
  • Labs icon Lab
  • A Cloud Guru
Azure icon

Creating a Classification Model with Azure ML Designer

In this hands-on lab, you are working as a data scientist for AIDoctor, a medical clinic. You’ve been asked to come up with a model that can be used to predict if a patient is diabetic, based on factors such as age, blood pressure, BMI, and more. You’ll use Azure Machine Learning studio and Azure Machine Learning designer to create a classification model that will predict if a patient is diabetic or not. You’ll also get to create an inference pipeline during this lab.

Azure icon

Path Info

Clock icon Beginner
Clock icon 1h 0m
Clock icon Dec 16, 2021

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.

Table of Contents

  1. Challenge

    Open the Azure ML Studio and Create a New Dataset

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

  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 If Patients Have Diabetes and Review Evaluation Results

    Drag and drop modules to create a pipeline that will train a classification model. After it runs, review the evaluation results and metrics.

  4. Challenge

    Create and Run an Inference Pipeline

    Create a real-time inference pipeline by adding the Web Service Input module to the pipeline and moving its output to the Apply Transformation module. Then, remove the Evaluate Model module. After making those modifications, run the pipeline.

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.

Provided environment for hands-on practice

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

Guided walkthrough

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

Did you know?

On average, you retain 75% more of your learning if you get time for practice.

Start learning by doing today

View Plans