Introducing an ML project
If you want to follow along with the implementation examples in this book, here is an example project to get you started. If you are already an expert in Azure Machine Learning, feel free to skip this introduction. This section will help beginners with the service or those in other roles to understand the ML life cycle in action. We will create a sample project that demonstrates how to import a dataset into Azure Machine Learning, how to use the Automated ML feature to train multiple models with multiple parameters, and deploy the resulting model as an endpoint to be used for predictions. The Automated ML feature was chosen as it does not require extensive data science expertise.
Log in to the Azure portal (https://portal.azure.com/) and look for Azure Machine Learning resource. From Overview, click on Studio web URL or the Launch Studio button to access your workspace, as seen in the following figure:
Figure 1.8 – Accessing...