WHY are folks telling people they can learn to do ML without leaning how to use one of the most essential tools for looking at data quality and model performance? 😩
Sure, there are workarounds (especially if needed for visual accessibility) but plotting is a standard tool.
Anyway, if you're looking for a good very intro guide, I like:
The R for Data Science chapter for R: https://r4ds.had.co.nz/data-visualisation.html
The @firstname.lastname@example.org intro to Python: https://swcarpentry.github.io/python-novice-inflammation/
(Notice that plotting is basically the first thing taught in these courses! Not a coincidence!)
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