Technical requirements
Similar to Chapter 2, Model Explainability Methods, for this chapter, certain tutorial examples to implement some of the techniques to perform data-centric XAI in Python on certain interesting datasets have been provided. We will be using Python Jupyter notebooks to run the code and visualize the output throughout this book. The code and dataset resources for this chapter can be downloaded or cloned from the following GitHub repository: https://github.com/PacktPublishing/Applied-Machine-Learning-Explainability-Techniques/tree/main/Chapter03. Other important Python frameworks required to run the code will be mentioned in the notebooks with other relevant details to understand the code implementation of these concepts. Other important Python frameworks required to run the code will be mentioned in the notebooks along with other relevant details to understand the code implementation of these concepts. Please note that this chapter mainly focuses on providing a...