Technical requirements
This chapter will make use of common libraries such as matplotlib
, seaborn
, pandas
, numpy
, scikit-learn
, and imbalanced-learn
. The code and notebooks for this chapter can be found on GitHub at https://github.com/PacktPublishing/Machine-Learning-for-Imbalanced-Data/tree/master/chapter03. To run the notebook, there are two options: you can click the Open in Colab icon at the top of the chapter’s notebook, or you can launch it directly from https://colab.research.google.com using the GitHub URL of the notebook.