Technical requirements

In this chapter, we will utilize common libraries such as numpy, scikit-learn, and PyTorch. PyTorch is an open source machine learning library that’s used for deep learning tasks and has grown in popularity recently because of its flexibility and ease of use.

You can install PyTorch using pip or conda. Visit the official PyTorch website (https://pytorch.org/get-started/locally/) to get the appropriate command for your system configuration.

The code and notebooks for this chapter are available on GitHub at https://github.com/PacktPublishing/Machine-Learning-for-Imbalanced-Data/tree/main/chapter06.