This week we will walk through an overview of the Kedro framework. From their website:
“Kedro is an open-source Python framework for creating reproducible, maintainable and modular data science code. It borrows concepts from software engineering best-practice and applies them to machine-learning code; applied concepts include modularity, separation of concerns and versioning.”
As a starting point, we will look through a setup based on the Iris dataset: https://kedro.readthedocs.io/…/05_example_project.html