After completing almost 2 weeks of content at one of the most famous MOOCs, Machine Learning By Andrew Ng on Coursera, I felt wanting as it was rather a watered down version of the original CS229. So I have decided to do the original CS229.

I will put down lecture wise notes here instead of the usual pen-paper approach I have been following since forever now. This page will have the list of all the links to my notes shared on this website of mine. Feel free to reach out to me in case you are looking for any help in understanding the notes or have any suggestions with regards to the blog posts.

Stanford Machine Learning Lecture 1: Introduction (July 29, 2019)
Lecture 2: Linear Regression, Gradient Descent (October 20, 2019)