Code and other junk in my ventures of understanding ML on my own...
All rights to their respective owners. Not sure about the licensing and intellectual property for this repo, but this is all publicly available anyway, or at least derived from a public source. I am sure attribution for any derivative works of code from here (or anywhere) is generally greatly appreciated, including here :]
I did most of my learning from Dr. Andy Thomas' "Adventures in Machine Learning" blog. Sadly, it has since gone offline. That said, I've found some archived webpages. I found 2022 versions, but I find the 2018 ones to be easier to read. The mathematical notation also seems to render better. Note: The pages may be slow to load the images and math notation.