Kaggle Kernels

From
Revision as of 18:48, 22 May 2018 by BPeat (talk | contribs)
Jump to: navigation, search

Youtube search...

Kernels are a combination of environment, input, code, and output - all stored together for every version you create. By storing all of these attributes together Kernels are fundamentally reproducible, easy to share, and easy to learn from or fork. Kernels contain both the code needed for an analysis, and the analysis itself. It's the core of your work, what you need to make it reproducible, to make it grow, and to invite collaboration.