This is a repo for me to work through Andrew Ng's Stanford Machine Learning Course. The first set of exercises are from Andrew's original non-Coursera class, while the second set come from the last half of his Coursera course. I started working through his original course via Stanford's Open Classroom before I realized there was a Coursera version.
For some of the assignments I've also optionally written them not only in Octave but Python and client-side JavaScript.