The beginning of Andrew Ng’s machine learning course on coursera does that too, it touches on the math a bit and explains how to imagine gradient descent in 3d space

Didn’t do the full course, but after the first few chapters I was able to write a very basic implementation in raw python (emphasizing here on “very basic”)