Dami data mining technique

[Damizen2]

This is what I have come up with after many edits.

[pm0kjp]

Just popping in to say I'm so excited you have your Very Own PR!

[Damizen2]

@pm0kjp I am really nervous...and excited about it

[rosemm]

Very cool, and a great idea for a topic! I think this will be very popular. Awesome work!
One thing that I think would improve the module for our audience would be focusing it more specifically for biomedical research applications. That's not easy to do, of course, since none of us on this team actually conduct data mining analyses on biomedical data! But I did find an article that looks helpful: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356424/ I think we could use some of the ideas and structure of this article (with attribution, of course) to rework this content and make it more specifically relevant for our learners. There's also this article (https://pubmed.ncbi.nlm.nih.gov/19855885/) which provides a really nice, accessible overview, but it's pretty old (2009) --- some of the content there might still be relevant, though, and if nothing else it can be useful historical context.
A couple other sources that might be good additions either to part of the module content or just in the "additional resources" list:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5406178/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501106/
(and just for fun, here's several xkcd comics that would be relevant if you want to add something like that for a little break in the seriousness https://towardsdatascience.com/12-xkcd-strips-that-show-the-truth-about-ai-e09fbcd00c4c )

To be clear: I'm definitely not saying we should incorporate all (or even any!) of the above resources, just providing them as hopefully a good starting place for practical ways to make the module more specific to biomedical research. I think what you have is a really good start, though!