π’ We just launched Learn Guides, curated collections of notebooks, videos, and discussion topics that you can use to accelerate your learning of a specific ML topic! Check it out at https://t.co/5BnK6A71PD.
β Kaggle (@kaggle) September 20, 2022
π’ We just launched Learn Guides, curated collections of notebooks, videos, and discussion topics that you can use to accelerate your learning of a specific ML topic! Check it out at https://t.co/5BnK6A71PD.
β Kaggle (@kaggle) September 20, 2022
Nice thread on how the role Kaggle played a key role in this quant's career: https://t.co/QHYs77hEzD.
β Anthony Goldbloom (@antgoldbloom) September 19, 2022
Very rewarding to read posts like this. Kudos @kaggle team!
And last but not least, I continue to be amazed how freely people share their insights on @kaggle
β Radek Osmulski πΊπ¦ (@radekosmulski) August 4, 2022
The quality of some of the posts is amazing
Here is a very good analysis of the noisiness of the metric for instancehttps://t.co/13JX1yb3YI
6/8 pic.twitter.com/hLztTOV1S9
I put together a quick guide to help anyone interested in publishing research datasets on @kaggle https://t.co/K74rwzVtOy
β meg.ehh π¨π¦ (@MeganRisdal) August 3, 2022
LMK if you have feedback and reach out if you're interested in working together! βΊοΈ
[Feature Selection Using Null Importances] by Kaggler and VP of Data Science @ @h2oai ogrellier HT @YifanX https://t.co/RMMvsgd6nC
β meg.ehh π¨π¦ (@MeganRisdal) May 19, 2022
Yesterday I asked some Kagglers about their favorite creative ideas with real-world applicability that they found through Competitions ...
β meg.ehh π¨π¦ (@MeganRisdal) May 19, 2022
They're very cool so I'm sharing them in a thread (add your own!) π
Congrats to Octosport and Sportmonks, winners of Kaggle's 1st $5k Community Competition Creator Prize! You can still join their Football Match Probability Prediction challenge, which includes high-quality starter notebooks. https://t.co/dhTBBH1u2i
β Kaggle (@kaggle) April 14, 2022
Whoa. 96% of the winning solutions used Python. This is the way.
β Sebastian Raschka (@rasbt) March 15, 2022
Interesting tidbit: all winning NLP solutions used transformers. However, most winning computer vision solutions were still convolutional nets (mostly EffficientNet). https://t.co/VQHbqz84Pi
We π Grandmaster @Rob_Mulla's new #PogKaggle Community Competition series! Get started with these resources π
β Kaggle (@kaggle) January 14, 2022
π Join the Competition: https://t.co/SFc9ES5g7P
π Follow Rob on Twitch: https://t.co/puXSGAfvIK
π Check out his YouTube walk-through: https://t.co/HH17rhLqAX
Our newest @kaggle competition is OCR for chemical compounds. Can you apply ML to translate from an image of the chemical structure to the text string that represents it? 4 million chemical structure images to help solve this problem! https://t.co/YpnGWsxczk
β Ben Hamner (@benhamner) March 2, 2021
Very impressive Denoising Transformer Auto-Encoder 1st place solution for the February 2021 @Kaggle Competition. Congratulations to @ryanzjlib on such a brilliant work!https://t.co/7cOsWRV4mE#ML #DL #datascience pic.twitter.com/DOAYoJpREG
β Bojan Tunguz (@tunguz) March 1, 2021
Turns out that Kaggle has been sending people their submissions' private leaderboard results as part of their HTTP responses π£π₯π€―https://t.co/y4e64c7w8V pic.twitter.com/Bq5JC2vYPh
β Jeremy Howard (@jeremyphoward) December 29, 2020