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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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I would nominate Dataiku here
Let me know if that works for you guys!
Such an open ended question calls for an open ended answer: you could build it on the cloud
Jokes aside: what are you building, what is analyzed, what are these tasks or examples of them, how is documentation added to the analyzed etc. I still don’t quite understand the flow you’re putting down
Sounds like a CMS with a data analysis layer built on top of it 🤷♂️
Django might do the trick, but you could maybe accomplish this really quickly with something like retool or smth
Or if you wanna go really lean, just use notion to track and link out to Jupyter notebooks or wherever you do analysis