Technical requirements
Similar to prior chapters, we will continue to utilize common libraries such as torch, torchvision, numpy, and scikit-learn. We will also use nlpaug for NLP-related functionalities. The code and notebooks for this chapter are available on GitHub at https://github.com/PacktPublishing/Machine-Learning-for-Imbalanced-Data/tree/main/chapter07. You can open the GitHub notebooks 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.
