Introducing Australian babynames: ozbabynames 📦! https://t.co/gzJA7fWuxM
— Nicholas Tierney (@nj_tierney) November 22, 2018
Many different data sources to get this data, .csv, .xlsx, using R Selenium, scraping data from PDFs, and more!
Created by @robjhyndman @_jessie_roberts, @mitchoharawild and myself! #ozunconf18 #rstats pic.twitter.com/r3jfc8ubnn
We have a fun, impactful new medical imaging AI competition for you on @Kaggle: identify metastatic tissue in histopathologic scans of lymph node sections https://t.co/I6aNjwZALW
— Ben Hamner (@benhamner) November 16, 2018
US and WORLD Politicians Tweet Dataset (2+ million):
— Jason Baumgartner (@jasonbaumgartne) November 10, 2018
List of people in dataset: https://t.co/Ff65UpdDEo (There have been a few more added since that list was made but that is the majority)
Location: https://t.co/ZZbyFb8BfZ#bigdata #datasets #datascience #politics #government
In approximately an hour, I will be releasing a #dataset of tweets from all U.S. senators, representatives, governors, cabinet members, secretaries of states and over 100 international leaders -- over 2 million tweets total in this dataset spanning back to 2009.#bigdata
— Jason Baumgartner (@jasonbaumgartne) November 10, 2018
This week's #KernelAwards winner uses the 2018 Kaggle Machine Learning & Data Science Survey dataset to tell a rich story about a subset of the data science and machine learning community: https://t.co/KnwyfjXEpf pic.twitter.com/hQpsilSXUn
— Kaggle (@kaggle) November 9, 2018
We have a fun new NLP @kaggle competition for you in collaboration with @Quora - train ML models on 1.3 million questions to classify them as sincere or insincere https://t.co/SthcFZNWRQ
— Ben Hamner (@benhamner) November 7, 2018
Here's your chance to combat online trolls at scale. Help @Quora uphold their policy of “Be Nice, Be Respectful” by classifying insincere questions. Get started now: https://t.co/3d4ihKO51S pic.twitter.com/bwahPDi3Fw
— Kaggle (@kaggle) November 7, 2018
More #rstats election fun: @MITElectionLab has an R package to access their county-level 2016 election data https://t.co/qWOZe6RvkF pic.twitter.com/g4T1DnVT4W
— Sharon Machlis (@sharon000) November 6, 2018
We made public:
— Misha Ahrens (@MishaAhrens) November 1, 2018
1.5 million neurons, cell-level activity during multiple behaviors
15 TB raw, 56 GB compressed
18 fish whole-brain data, ~100k neurons/fish
Data and code: https://t.co/KO2IEabdV6
Paper: https://t.co/2H6l3zWrRL pic.twitter.com/7EdQ4oisaH
Introducing the MAESTRO dataset (172 hours of aligned MIDI and audio piano performances) and Wave2Midi2Wave: a factorized approach to modeling and generating piano performances.
— Adam Roberts (@ada_rob) October 30, 2018
w/ @fjord41 Andriy Stasyuk @iansimon @huangcza @sedielem
Read 👉 https://t.co/Iz6GKbRulQ
Listen 👇 pic.twitter.com/Q3yvPUMW0r
XNLI dataset available from Facebook AI & NYU. https://t.co/DJmtW8dqKH
— Yann LeCun (@ylecun) October 27, 2018
This week's #KernelAwards winner uses a dataset of 100k online orders to explore the impact of geography on e-commerce: https://t.co/R9dg6e7sCo pic.twitter.com/Cy6Fd9Z0E0
— Kaggle (@kaggle) October 26, 2018
