Technical requirements
Similar to prior chapters, we will continue to utilize common libraries such as matplotlib, numpy, scikit-learn, xgboost, and imbalanced-learn. The code and notebooks for this chapter are available on GitHub at https://github.com/PacktPublishing/Machine-Learning-for-Imbalanced-Data/tree/master/chapter10. You can open the GitHub notebook using Google Colab by clicking on the Open in Colab icon on the top of the chapter’s notebook or by launching it from https://colab.research.google.com using the GitHub URL of the notebook.
