⚡ Machine Learning With Javascript

• Javascript code following a Udemy Machine Learning course.
• Note: to open web links in a new window use: ctrl+click on link

📄 Table of contents

• ⚡ Machine Learning With Javascript
  • 📄 Table of contents
  • 📚 General info
  • 📷 Screenshots
  • 📶 Technologies
  • 💾 Setup
  • 💻 Code Examples
  • 🆒 Features
  • 📋 Status & To-Do List
  • 👏 Inspiration
  • ✉️ Contact

📚 General info

• K-Nearest Neighbor (KNN) used to try to predict which bucket a ball will land in when dropped from a height of 300px.

📷 Screenshots

📶 Technologies

• Chrome Javascript Engine v8
• Lodash v4 utility functions for common programming tasks using functional programming.
• Semantic UI v2 modern front-end development framework
• Matter.js - a 2D physics engine for the web

💾 Setup

• Open 'index.html' in terminal to run program.

💻 Code Examples

• function to apply KNN

function knn(data, point, k) {
  return _.chain(data)
    .map((row) => {
      return [distance(_.initial(row), point), _.last(row)];
    })
    .sortBy((row) => row[0])
    .slice(0, k)
    .countBy((row) => row[1])
    .toPairs()
    .sortBy((row) => row[1])
    .last()
    .first()
    .parseInt()
    .value();
}

🆒 Features

• Content Delivery Network (CDN) used to deliver faster performance
• Semantic UI components

📋 Status & To-Do List

• Status: Working
• To-Do: nothing

👏 Inspiration

• Stephen Grider: Machine Learning with Javascript section 2: Algorithm Overview

📁 License

• N/A

✉️ Contact

• Repo created by ABateman, email: [email protected]