Technical requirements
Like the previous chapter, this chapter is very technical with code walk-throughs in Python and Jupyter notebooks. For this chapter, the code and dataset resources can be downloaded or cloned from the GitHub repository: https://github.com/PacktPublishing/Applied-Machine-Learning-Explainability-Techniques/tree/main/Chapter05. Like the previous chapters, we will be using Python and Jupyter notebooks to run the code and generate the necessary outputs. All other relevant details are provided in the notebooks, and I recommend that you all run the notebooks while going through the chapter content to get a better understanding of the topics covered.