NYC subway usage
— Todd Schneider (@todd_schneider) March 28, 2020
Code: https://t.co/C2WML3RNW5 pic.twitter.com/HNMAPuGeSy
NYC subway usage
— Todd Schneider (@todd_schneider) March 28, 2020
Code: https://t.co/C2WML3RNW5 pic.twitter.com/HNMAPuGeSy
New York Times has made its county- and state-level data for US Covid cases available on GitHub. (non-commercial use only, attribution req'd)
— Sharon Machlis (@sharon000) March 27, 2020
Article: https://t.co/iiFWznqWDA
GitHub repo: https://t.co/VQTixvIfgu#COVID19 #coronavirus pic.twitter.com/SH196OpWKe
We're happy to release the Taskmaster-2 natural language dialog dataset, an extension to TaskMaster-1 (https://t.co/LFwD4g4sPP) that doubles the size and increases the level of dialog complexity needed to model human-level understanding. Grab the data at ↓https://t.co/neotHwbQGC
— Google AI (@GoogleAI) March 26, 2020
We appreciate everything you're doing to contribute to developing tools that help answer high priority scientific questions around COVID-19. This notebook focuses on creating an autocomplete search bar for COVID-19 literature: https://t.co/6fshBBvl8e pic.twitter.com/Z5UAD0QCea
— Kaggle (@kaggle) March 26, 2020
It only takes one toxic comment to sour an online discussion.🗣🚫 Now, more than ever, @jigsaw needs your help in identifying toxic comments. Check out our latest TPU competition: https://t.co/6iwpRVWMhR pic.twitter.com/zibo2pqbpx
— Kaggle (@kaggle) March 23, 2020
The European CDC is doing an excellent job.
— Max Roser (@MaxCRoser) March 20, 2020
They provide a crucial service for all of us by maintaining a clean, daily updated, global database on the coronavirus pandemic.
I'm very happy that my taxes are used to pay for the work of these researchers. https://t.co/guXFCl4lU4
📊 Code through *and* a new data pkg!
— Mara Averick (@dataandme) March 16, 2020
🗳 "U.S. Census Counts Data" by @kjhealyhttps://t.co/wLcw9cZnh3 #rstats #dataviz pic.twitter.com/LUUrwBHroY
— Vladimir Iglovikov (@viglovikov) March 14, 2020
To spark even more community collaboration on Kaggle, we’ve launched a Dataset Tasks Award this month on a dataset challenge that’s incredibly important: build a model that helps predict the progression of the Coronavirus.
— Kaggle (@kaggle) March 12, 2020
You can find more details here: https://t.co/xLidxO3TyH
The M5 Forecasting Competition has been launched hosted by @kaggle. It consists of two tracks. To register in Forecasting-Accuracy use https://t.co/GILfO9LTKB for Forecasting-Uncertainty use https://t.co/uikxjf7XWJ There are 1500 registered in the first 12 hours since its opening
— Spyros Makridakis (@spyrosmakrid) March 3, 2020
Interested in analyzing #coronavirus data in R? There's now an #rstats package with data from the @hopkinsengineer repository. Pkg updates daily:https://t.co/GeKveyvMTx
— Sharon Machlis (@sharon000) March 2, 2020
Shiny dashboard w/ that data: https://t.co/RXhGBCjE13
Dashboard code: https://t.co/RXhGBCjE13
by @Rami_Krispin pic.twitter.com/hqAZCGOaBt
tSNE of 16P Personality Dataset in @Kaggle kernels with @rapidsai :https://t.co/PMBfhFKpIB pic.twitter.com/nILcpQPsur
— Bojan Tunguz (@tunguz) February 25, 2020