02/06/2022, 5:49 PM
Another general question: it's clear that the design of Kedro is quite heavily inspired around ML use cases. Is it still advised to use Kedro for data science projects that have no ML involved?
02/06/2022, 7:31 PM
I would like to think so - Kedro gives you a generic template, a mechanism for defining transformation logic, a system for managing configuration and encourages you to build testable, modular code
none of that requires a model - so I wouldn't say it requires ML to be useful
02/06/2022, 8:14 PM
Thanks for the advice!