Giter Site home page Giter Site logo

jaimedantas / perceptron-classification Goto Github PK

View Code? Open in Web Editor NEW
4.0 2.0 2.0 287 KB

Implementation of the perceptron algorithm on MATLAB for classification

License: MIT License

MATLAB 100.00%
machine-learning perceptron perceptron-learning-algorithm linear-classification surrogate-based-optimization

perceptron-classification's Introduction

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.

perceptron-classification's People

Contributors

jaimedantas avatar

Stargazers

avatar avatar avatar avatar

Watchers

avatar avatar

Forkers

junaidqazi jkapsouras

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.