anesabml / Machine-Learning

A collection of Machine Learning algorithms in Python written from scratch.

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