This is my attempt to catch up on the field of machine learning. In order to not "waste" time of exercising with dummy data the Security team came up with a couple of interesting questions:

  1. Is a software mentioned in a bug or security issue relevant in incident management (Tagging as Not for us)?
  2. Predicting, whether a bug might become an EMU?
  3. Predicting a CVSS score based on a bug description?
  4. Extract package and version from a bug description?

Caveat: The main goal is to get familiar with ML/AI. Reusable models emerging from this project should be considered spin-off products.

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This project is part of:

Hack Week 18


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This project is one of its kind!