Feature engineering for overlapping categories

There are many ways to do feature engineering for you machine learning pipeline and there are moments when you might favour one technique over another. In particular, when dealing with a category that behaves like text ... why not just model it as text?
This whiteboard video is part of the open efforts over at probabl. To learn more you can check out website or reach out to us on social media.
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[@yafz]

It's great to see basic techniques applied to realistic data sets! Indeed they have limitations, but it's good to showcase how such lightweight methods can be cleverly used, instead of throwing LLMs and GPUs at everything! :)

[@JR-gy1lh]

This channel is awesome!
I would love deep dives into the sklearn code. Like design choices, KMeans from scratch, etc ...

[@probabl_ai]

Feel free to join the Discord server here: discord.gg/wcvrjNX8
That might make it easier to interface on content ideas :)