Machine-Learning

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

Keras

k-Fold Validation (Blog Post)

Classifiers

k-Nearest Neighbors (Blog Post)
Perceptron (Theory, Implementation)
Least Squares
- Requires numpy
- Includes plotting, which requires matplotlib
Naive Bayes Classifier (Categorical, Numerical)
- Includes Categorical and Numerical classifiers
Neural Network (Tutorial)
- Requires numpy
- Includes plotting, which requires matplotlib

Clustering

kMeans (Standard)
- Includes plotting, which requires matplotlib
- Includes both the online (or sequential) kMeans and the standard (or iterative) algorithm.

Pattern Recognition

Viterbi Algorithm (for Hidden Markov Models)
Edit Distance Algorithm