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
Reading time: less than 1 minute
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 = "2024", url = "https://www.gkbrk.com/kaggle" }
Not using BibTeX? Click here for more citation styles.
IEEE Citation
Gokberk Yaltirakli, "Kaggle", July, 2024. [Online]. Available: https://www.gkbrk.com/kaggle. [Accessed Jul. 24, 2024].
APA Style
Yaltirakli, G. (2024, July 24). Kaggle. https://www.gkbrk.com/kaggle
Bluebook Style
Gokberk Yaltirakli, Kaggle, GKBRK.COM (Jul. 24, 2024), https://www.gkbrk.com/kaggle
