My article on @skrub_data is finally live! In this hands-on walkthrough, I use a messy dataset to explore how skrub fits into a typical tabular machine learning workflow, covering everything from inspecting the data to building a predictive pipeline.
It's a tad longer so feel free to treat it as a reference rather than reading it in one sitting. Companion notebooks are available in Jupyter,@marimo_io (molab), and @kaggle if you'd like to run the examples yourself.
