Summary

With this chapter, you have successfully constructed a regression model using the AzureML Python SDK. Regardless of whether you're a Python novice or expert, you have loaded data, transformed it extensively using pandas, and built a useful machine learning model with AutoML. You then registered your model to an AMLS workspace. You will use that same model in future chapters to create inference pipelines and real-time scoring endpoints using REST APIs.

By working through all the exercises in this chapter, you have obtained a level of mastery over Azure AutoML regression solutions. You can now take any set of data that's useful in predicting a number and use it to create a high-performing machine learning model. Furthermore, you can code all of this in Python and, if the model fails to perform, you know lots of little ways to improve performance, or, if worst comes to worst, change your regression problem to a classification problem.

In Chapter 5, Building an...