https://github.com/andrewjbateman/javascript-machine-learning

:clipboard: Notepad to create code for machine learning
https://github.com/andrewjbateman/javascript-machine-learning

html javascript lodash lodashjs machine-learning-algorithms semantic-ui

Last synced: 9 months ago
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:clipboard: Notepad to create code for machine learning

• Host: GitHub
• URL: https://github.com/andrewjbateman/javascript-machine-learning
• Owner: AndrewJBateman
• Created: 2018-12-24T17:19:50.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-06-17T15:07:10.000Z (about 5 years ago)
• Last Synced: 2024-12-27T02:44:57.735Z (over 1 year ago)
• Topics: html, javascript, lodash, lodashjs, machine-learning-algorithms, semantic-ui
• Language: JavaScript
• Homepage:
• Size: 195 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# :zap: 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_

![GitHub repo size](https://img.shields.io/github/repo-size/AndrewJBateman/javascript-machine-learning?style=plastic)

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## :page_facing_up: Table of contents

* [:zap: Machine Learning With Javascript](#zap-machine-learning-with-javascript)

  * [:page_facing_up: Table of contents](#page_facing_up-table-of-contents)

  * [:books: General info](#books-general-info)

  * [:camera: Screenshots](#camera-screenshots)

  * [:signal_strength: Technologies](#signal_strength-technologies)

  * [:floppy_disk: Setup](#floppy_disk-setup)

  * [:computer: Code Examples](#computer-code-examples)

  * [:cool: Features](#cool-features)

  * [:clipboard: Status & To-Do List](#clipboard-status--to-do-list)

  * [:clap: Inspiration](#clap-inspiration)

  * [:envelope: Contact](#envelope-contact)

## :books: 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.

## :camera: Screenshots

![Example screenshot](./img/knn.png)

## :signal_strength: Technologies

* [Chrome Javascript Engine v8](https://v8.dev/)

* [Lodash v4](https://lodash.com/) utility functions for common programming tasks using functional programming.

* [Semantic UI v2](https://semantic-ui.com/) modern front-end development framework

* [Matter.js](https://brm.io/matter-js/) - a 2D physics engine for the web

## :floppy_disk: Setup

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

## :computer: Code Examples

* function to apply KNN

```javascript

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();

}

```

## :cool: Features

* Content Delivery Network (CDN) used to deliver faster performance

* Semantic UI components

## :clipboard: Status & To-Do List

* Status: Working

* To-Do: nothing

## :clap: Inspiration

* [Stephen Grider: Machine Learning with Javascript](https://www.udemy.com/machine-learning-with-javascript) section 2: Algorithm Overview

## :file_folder: License

* N/A

## :envelope: Contact

* Repo created by [ABateman](https://github.com/AndrewJBateman), email: gomezbateman@yahoo.com