One of our @kaggle users is currently live-coding a NYC taxi ride length prediction challenge using XGBoost with 2000+ viewers https://t.co/hbSVwqAt2k
— Ben Hamner (@benhamner) July 27, 2018
One of our @kaggle users is currently live-coding a NYC taxi ride length prediction challenge using XGBoost with 2000+ viewers https://t.co/hbSVwqAt2k
— Ben Hamner (@benhamner) July 27, 2018
7,000 public datasets and counting 📈 Thanks @drfeifei for sharing the breadth of the @KaggleDatasets platform at #GoogleNext18 https://t.co/XHUWfbpKj4 pic.twitter.com/MWVduCp5QP
— Kaggle (@kaggle) July 26, 2018
New competition launch! Pinpoint salt deposits beneath the Earth's surface in @TGScompany's Salt Identification Challenge https://t.co/mOL39iFLwQ pic.twitter.com/JZcMGceI9m
— Kaggle (@kaggle) July 20, 2018
Kaggle's API now supports kernels!
— Ben Hamner (@benhamner) July 20, 2018
kaggle kernels pull -k username/kernel-name (to pull code down)
kaggle kernels push (to push your updated code to Kaggle and run it in the cloud)https://t.co/riw6rpd4YH
Read our interview with Kaggle's first ever Kernels Grandmaster, Martin Henze (AKA Heads or Tails). He shares his story and practical tips for writing compelling EDAs. https://t.co/sSJpFNxo8c
— Kaggle (@kaggle) June 26, 2018
Kaggler @tunguz shares insights from his 4th place finish in the Cats versus Dogs image classification competition https://t.co/oPG8PLyOf7 pic.twitter.com/QJFOgtw50g
— Kaggle (@kaggle) April 4, 2017