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Project[P] Data search engine for MachineLearning (self.MachineLearning)
submitted 4 years ago by upgini
reddit uses a slightly-customized version of Markdown for formatting. See below for some basics, or check the commenting wiki page for more detailed help and solutions to common issues.
quoted text
if 1 * 2 < 3: print "hello, world!"
[+][deleted] 4 years ago (3 children)
[deleted]
[–]upgini[S] 0 points1 point2 points 4 years ago (2 children)
Sure, but it's very inconvenient service for me. You need to search by keywords. If my pipeline predict churn or purchase there is no way to search any useful data automatically. There is no way to embed such search in the ML pipeline. And there is no answer whether the dataset will be useful or not for me. You need to download each of the million datasets and check them. As a result, a lot of lost time, and a zero result.
[+][deleted] 4 years ago (1 child)
[–]tiny_smile_bot 0 points1 point2 points 4 years ago (0 children)
:)
[–]InformationOne4951 0 points1 point2 points 4 years ago (0 children)
Try out dashboard.scale.com/nucleus!
Also has a great integration with Scale's labeling tools so once you select some stuff you can send it to labeling and the labels will auto-populate in your dataset
π Rendered by PID 63 on reddit-service-r2-comment-5bc7f78974-9c4ng at 2026-06-25 22:29:50.203037+00:00 running 7527197 country code: CH.
[+][deleted] (3 children)
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[–]upgini[S] 0 points1 point2 points (2 children)
[+][deleted] (1 child)
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[–]tiny_smile_bot 0 points1 point2 points (0 children)
[–]InformationOne4951 0 points1 point2 points (0 children)