Technical requirements
Similar to prior chapters, we will continue to utilize common libraries such as numpy, pandas, sklearn, and torch. For graph machine learning, we will use the torch_geometric library as well. The code and notebooks for this chapter are available on GitHub at https://github.com/PacktPublishing/Machine-Learning-for-Imbalanced-Data/tree/master/chapter09. You can open the GitHub notebook using Google Colab by clicking on the Open in Colab icon at the top of the chapter’s notebook or by launching it from https://colab.research.google.com, using the GitHub URL of the notebook.
