/perceptron-classification

Implementation of the perceptron algorithm on MATLAB for classification

Primary LanguageMATLABMIT LicenseMIT

Implementation the perceptron algorithm in MATLAB

The perceptron algorithm is used for linear classification in machine learning.

Features

  • Perceptron implementation on MATLAB
  • Logistic loss analysis
  • Hinge loss analysis
  • Binary loss analysis

Dataset

An 3-dimensional dataset with 200 data points is used for classification. This dataset was originally proposed by Dr. Ruth Urner on one of her assignments for ML.

Documentation

This implementation is part of an article published on Towards Data Science. I encourage you to go over this reading.