Azure Machine Learning Exercises

This repository contains the hands-on lab exercises for Microsoft course DP-100 Designing and Implementing a Data Science Solution on Azure and the equivalent self-paced modules on Microsoft Learn. The exercises are designed to accompany the learning materials and enable you to practice using the technologies they describe.

To complete these exercises, you’ll require a Microsoft Azure subscription. If your instructor has not provided you with one, you can sign up for a free trial at https://azure.microsoft.com.

Exercises
Create an Azure Machine Learning workspace
Use Automated Machine Learning
Use Azure Machine Learning Designer
Run experiments
Train models
Work with data
Work with compute
Create a pipeline
Create a real-time inference service
Create a batch inference service
Tune hyperparameters
Use automated machine learning from the SDK
Explore differential privacy
Interpret models
Detect and mitigate unfairness
Monitor a model
Monitor data drift