Implementation of some basic algorithms in machine learning.

I'm using the Octave programming language, and Andrew Ng's course as a means to built these algorithms.

Here are the current available algorithms :

• Linear regression (with multiple variables)
• Logistic regression (with regularization)
• Neural network (with forward/backward propagation, and regularization)
• Support vector machines (with gaussian kernel)
• K-means

All the source code is under the MIT License.