.

Kaggle


Reading time: less than 1 minute

Kaggle is a website that runs Machine learning competitions. It has lots of content if you’re interested in Data science.

The meta

Most of the time on Kaggle competitions, the winning solution involves gradient-boosted trees and ensembling.

Kaggle CLI

There is an official Kaggle CLI for downloading datasets etc.

You can run it with uv like this:

uv run --with kaggle kaggle competitions download -c brist1d

The following pages link here

Citation

If you find this work useful, please cite it as:
@article{yaltirakli,
  title   = "Kaggle",
  author  = "Yaltirakli, Gokberk",
  journal = "gkbrk.com",
  year    = "2025",
  url     = "https://www.gkbrk.com/kaggle"
}
Not using BibTeX? Click here for more citation styles.
IEEE Citation
Gokberk Yaltirakli, "Kaggle", January, 2025. [Online]. Available: https://www.gkbrk.com/kaggle. [Accessed Jan. 20, 2025].
APA Style
Yaltirakli, G. (2025, January 20). Kaggle. https://www.gkbrk.com/kaggle
Bluebook Style
Gokberk Yaltirakli, Kaggle, GKBRK.COM (Jan. 20, 2025), https://www.gkbrk.com/kaggle

Comments

© 2025 Gokberk Yaltirakli