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@natmokval I think you're contributing with quality in mind and with care of the bigger picture. ❤️

If you would like to review PRs on this issue (or beyond), you're very welcome to do so. I'd personally be very happy.

Also, I've put a section "What comes next?" on the bottom of the issue, where I describe what could be the next steps to grow further into the scikit-learn ecosystem if you are interested. Especially, we've go the help wanted and moderate tag on issues and PRs that could be next steps to get into some more challenging areas.

Copying the section here for reference:

What comes next?

• after working a bit here, you might want to further explore contributing to scikit learn
• we have Improve tests by using global_random_seed fixture to make them less seed-sensitive #22827 and Fix broken links in the documentation #25024 that are both also suitable for beginners, but might move forwards a little slower than here
• we are looking for people who are willing to do some intense work to improve or merge some examples; these will be PRs that will be intensely discussed and thoroughly reviewed and will probably take several months; if this sounds good to you, please open an issue with a suggestion and maintainers will evaluate your idea
  • this could look like DOC rework the example presenting the regularization path of Lasso, Lasso-LARS, and Elastic Net #29963 and DOC merging the examples related to OPTICS, DBSCAN, and HDBSCAN #29962
  • we also have an open issue to discuss examples that can be removed: RFC remove some of our examples #27151
• if you are more senior professionally, you can look through the issues with the help wanted label or with the moderate label or you can take over stalled PRs; these kind of contributions need to be discussed with maintainers and I would recommend seeking their approval first and not invest too much work before you get a go

@natmokval I think you're contributing with quality in mind and with care of the bigger picture. ❤️

If you would like to review PRs on this issue (or beyond), you're very welcome to do so. I'd personally be very happy.

Also, I've put a section "What comes next?" on the bottom of the issue, where I describe what could be the next steps to grow further into the scikit-learn ecosystem if you are interested. Especially, we've go the help wanted and moderate tag on issues and PRs that could be next steps to get into some more challenging areas.

@StefanieSenger, thanks a lot for the kind words! I’m happy to dive deeper into scikit-learn and contribute more. I’ll check out the 'What comes next?' section and look for some more challenging areas to help with.