Technical requirements

The following requirements should be considered for this chapter as they will help you better understand the concepts, use them in your projects, and practice with the provided code:

• Python library requirements:
  • sklearn >= 1.2.2
  • numpy >= 1.22.4
  • pandas >= 1.4.4
  • matplotlib >= 3.5.3
  • collections >= 3.8.16
  • xgboost >= 1.7.5
• You should have basic knowledge of model validation and testing, as well as classification, regression, and clustering in machine learning

You can find the code files for this chapter on GitHub at https://github.com/PacktPublishing/Debugging-Machine-Learning-Models-with-Python/tree/main/Chapter04.