This repo contains my homework assignments for ECE 5640: Machine Learning and Pattern Recognition, taught by David Brady at Northeastern University. Along with homeworks, I have included various experiments that I've done over the course of the class to work on specific concepts, or programming-related issues. The class is taught in Matlab, however I prefer Julia (or Python), so I have tried to duplicate my notebooks in Julia. All Matlab notebooks are runnable with the open-source Octave kernel.
- Linear Algebra Review
- Bayesian Classification
- Maximimum Likelihood and Bayesian Parameter Estimation
This repo will be updated as the class continues, watch here for updates!
