Technical requirements
The code for this chapter is available in this repository under the ch5 folder:
https://github.com/PacktPublishing/Machine-Learning-Model-Security-in-Azure/
Working with Python
To use the libraries, you need to be familiar with Python. In this book, we will use notebooks from the Azure Machine Learning environment to run the examples, but if you prefer to use your own development environment and tools, that is fine.
Getting started with Python
New to Python and ML? Take a look at this learning path to learn the basics of Python: https://learn.microsoft.com/en-us/training/paths/beginner-python/.
Running a notebook in Azure Machine Learning
The process of running a notebook in Azure Machine Learning is very straightforward. All you need to do is import or create a workbook in the interface, attach a compute target, and then run the cells. Let us see the steps together:
- Go to the Notebooks section and upload or create your file:
