Skip to content

Files

Latest commit

author
prtsh
Dec 19, 2019
4214167 · Dec 19, 2019

History

History
12 lines (8 loc) · 689 Bytes

README.md

File metadata and controls

12 lines (8 loc) · 689 Bytes

Machine-Learning-in-Matlab

Matlab code snippets for few common machine learning techniques

  1. An implementation of ridge regression, a linear regression with regularization (L^2)
  2. An implementation of a vanilla K-means clustering, K is configurable.
  3. A logistic regression imlpementation, for 4 classes.
  4. A chi-square kernel implementation to be used with libSVM (not added.)
  5. Support vector machine imlementation with HArd mining training optimization. Works for linear kernel only. Stub for RBF and polynomial kernels.

The repository containes code snippetes wrttten in matlab. The code functionality is not verified and there is no guarantee that your machine will learn.