Machine Learning Algorithm Implementation
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)
All the source code is under the MIT License.