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This repository is a personal archive of Octave exercises and assignments for the 2011 Stanford Machine Learning class. The author uses the Octave programming environment (which is similar to MATLAB) to implement the homework assignments (ex1 through ex7), providing code solutions, cheat sheets, and scratch files. Octave / MATLAB code illustrating algorithms taught in the class. Cheat sheet for Octave / MATLAB commands. Readme and licensing information. Octave / MATLAB code illustrating algorithms taught in the class.
Features
- Solutions to Stanford ML class assignments (ex1 … ex7)
- Octave / MATLAB code illustrating algorithms taught in the class
- Cheat sheet for Octave / MATLAB commands
- Scratch / testing files included
- Readme and licensing information
- Archive status (read-only)
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