I took this class 5+ years ago. Please don't open any issues or pull requests. All examples come as is.
Octave is a high level (open source) programming language similar to Matlab. I'm using it for the 2011 Stanford Machine Learning Class.
This repo contains my Octave homework assigned that I have completed. If you are taking the class please fork the project and put different solutions in a different branch. However please do not post any code before the due date (homework is due every sunday). I will not post solutions before the due date, so please don't ask.
https://github.com/everpeace/ml-class-assignments
https://github.com/joewandy/Stanford-Machine-Learning
To get Textmate Highlighting check out the Octave Bundle Just download and change the extension to .tmbundle and double click. After that go to Bundles >> Bundle Editor >> Reload Bundles.
Select 'Matlab' as the file type when working with octave files
"We strongly encourage students to form study groups, and discuss the lecture videos (including in-video questions). We also encourage you to get together with friends to watch the videos together as a group. However, the answers that you submit for the review questions should be your own work. For the programming exercises, you are welcome to discuss them with other students, discuss specific algorithms, properties of algorithms, etc.; we ask only that you not look at any source code written by a different student, nor show your solution code to other students."
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Solutions licensed under MIT License Copyright (c) 2011 Schneems. See LICENSE.txt for further details.