Academic Torrents VS Dataset Search

Same that I occasionally will run some of the Academic Torrents for a few months to help keep that data out there. Source: 10 months ago

And torrents of the Pushshift files from the beginning to the end of March (I believe) are out there for anyone who wants to download them, packaged by the month. Google "pushshift torrents", or search https://academictorrents.com/ for reddit. Source: 10 months ago

How is the "CS 446: Kernel and Other Low-level Software Development" course offered at NU? I've heard from a few friends that it's an excellent course. Unfortunately, my university doesn't offer a similar elective or anything related to the subject. I tried to find the course materials on the official webpage but couldn't locate them. Could someone please share the course material for Dr Peter Dinda's version of... Source: 11 months ago

Academic Torrents - http://academictorrents.com/. Source: 11 months ago

You might also try a large torrent download (like from https://academictorrents.com ) and see what you can flood your connection with. Source: about 1 year ago

Google Dataset Search: Google's tool to help users find datasets stored across the web. Google Dataset Search. - Source: dev.to / about 11 hours ago

While looking I found out google has a separate search engine for datasets: https://datasetsearch.research.google.com/ That might be helpful if you want to keep looking. Source: 5 months ago

For more researchy bits : https://datasetsearch.research.google.com/ Kaggle is the go-to for sure. Https://www.makeovermonday.co.uk/data/ The Makeover Mondays have gone on for so long, it has a good bank of fun data sets too by now. Source: 10 months ago

Have you checked out Google's dataset search tool? https://datasetsearch.research.google.com/. Source: 11 months ago

In my current work, we deal with Banking and Finance. Then try searching for datasets (Google Datasets or Kaggle) and try doing Exploratory Data Analysis -- univariate, bivariate, and multivariate. From your EDA, you can see interesting insights right away. Then from what gleamed, you decide on whether you'll do. It could be (but not limited to):. Source: 12 months ago