In this repo I followed closely Andrew Ng's Machine Learning course on Coursera, by Stanford university.
I have finished the course at the same date I'm updating this README file (07/04/2020) and my certification can be verified in the following link:
The course is originally divided into 11 weeks and the material corresponding to each one of them is stored in a separate folder. Inside each of these folders you're going do find:
- notes: a folder containing my personal study notes in
(disclaimer: much of the content of these notes is a direct reference and/or copy of the course material provided by professor Andrew Ng and was stored in this repository for organizational and study purpuses only.)
- programming assignment: when applicable, this folder contains a
ex*in which are stored all Matlab/Octave scripts necessary to complete this computational task, in particular.
- slides: in this folder you are going to find the lecture slides that professor Andrew Ng used for that week's lectures.