Important Notice!

This repo will be replaced by a new repo on December 12th 2020. The corresponding courseware will also be updated at this time. We're making this change to:

• Consolidate the labs used in the DP-100 instructor-led course and the self-paced exercises in the equivalent online modules on Microsoft Learn.
• Update labs to reflect recent changes in the Azure Machine Learning service and SDK.
• Add new labs on topics related to responsible machine learning.

On Dec 7th 2020, Azure ML SDK 1.19.0 was released. In this release, estimators are deprecated; so any labs that use estimators will fail. We'll be releasing a refreshed version of the course next week, which will address this (and other) issues. In the meantime, you can apply either of the following workarounds:

• Pin the SDK version to 1.18.0 (so in steps to install the SDK, use pip install azureml-sdk==1.18.0. However, you might experience some compatibility issues in later labs)
• Use the updated labs (which will be the "official" labs for the refreshed course from next week onwards) at https://aka.ms/mslearn-dp100 - they more or less follow the same flow as the existing labs, but do not use estimators.

After a short interval, this repo will be archived.

This repo contains the lab files for Microsoft course DP-100T01-A: Designing and Implementing a Data Science Solution on Azure.

The lab instructions are here.

At this time, we are not accepting external contributions to this repo. If you have suggestions or spot any errors, please report them as issues.