[fnl]

Your comment got me interested in this course. However, all I could find about feature engineering there is what you linked to, directly.

Given that entire scientific careers, books, and conferences are built around the topic of feature engineering, and at least IMO good ML tools live or die with good feature engineering (in its broadest sense, for you deep learning fanatics :-)) that doesn't seem like more than the bare minimum I'd expect from any ML "crash-course" that is to be taken serious (and I wouldn't expect an ounce less from Google... :-)).

Am I missing something, maybe?

In any case, nice work of your own, and thanks for sharing it!

[kmax12]

10 seconds into the video of feature engineering they say that feature engineering takes up about 75% of the time https://developers.google.com/machine-learning/crash-course/...

They understand the value, but but if you keep watching, they don’t seen go beyond the basic.