|
Code made public on Kaggle Kernels is currently required to be under an Apache 2.0 license. Beyond that, for private work the non-legalese TL;DR is no, at least not beyond what's required for us to operate the service. I'll refer you to https://www.kaggle.com/terms, and copy one relevant section below. If your work is in the context of making submissions to a specific machine learning competition, then that competition may have bespoke exceptions to this as well (which would be detailed in the rules of the competition). "For all User Submissions, you grant Kaggle a license to translate, modify (for technical purposes, for example making sure your content is viewable on an iPhone as well as a computer) and reproduce and otherwise act with respect to such User Submissions, in each case to enable us to operate the Services, as described in more detail below. You acknowledge and agree that Kaggle, in performing the required technical steps to provide the Services to our users (including you), may need to make changes to your User Submissions to conform and adapt those User Submissions to the technical requirements of communication networks, devices, services, or media, and the licenses you grant under these Terms include the rights to do so. You also agree that all of the licenses you grant under these Terms are royalty-free, perpetual, irrevocable, and worldwide. These are licenses only — your ownership in User Submissions is not affected." |