Machine-Learning

A (WIP) list of Machine Learning algorithms in Python. Currently includes the following algorithms:

Classifiers

1. k-Nearest Neighbors (Blog Post)

2. Perceptron (Theory, Implementation)

3. Least Squares

4. Requires numpy

5. Includes plotting, which requires matplotlib

6. Naive Bayes Classifier (Categorical, Numerical)

7. Includes Categorical and Numerical classifiers

8. Neural Network

9. Requires numpy

10. Includes plotting, which requires matplotlib

Clustering

1. kMeans

2. Includes plotting, which requires matplotlib

3. Includes both the online (or sequential) kMeans and the standard (or iterative) algorithm.

Pattern Recognition

1. Viterbi Algorithm (for Hidden Markov Models)

2. Edit Distance Algorithm