Lab
A Cloud Guru

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.

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Path Info

Level

Beginner

Duration

1h 0m

Published

Dec 16, 2021

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.
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 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.
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.

Author

A Cloud Guru

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.