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