Here you can find the implementations of the following machine learning algorithms:
- Dimensionality Reduction
- PCA(Principle component analysis)
- LDA(Linear Discriminant Analysis)
- Parametric and Non-Parametric Classification
- Parametric classification
- Mixture of Gaussians
- K-Nearest Neighbor
- Multilayered-Perceptron
Also, there are codes for reviewing bias/variance dilemma, cross-validation and data visualization.