Technical requirements
Similar to prior chapters, we will continue to utilize common libraries such as 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/main/chapter05. You can open this GitHub notebook using Google Colab by clicking on the Open in Colab icon at the top of this chapter’s notebook or by launching it from https://colab.research.google.com using the GitHub URL of the notebook.