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Complete Machine Learning Assistant - Hack36 2019

JavaScript 14.70% CSS 60.97% Python 4.63% HTML 19.70%

expressml's Introduction

ExpressML

Complete Machine Learning Assistant

NPM Version Build Status Downloads Stats

Screenshots

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Installation

Install NodeJS and npm. Then install dependencies with the following command

npm install

Usage example

OS X & Linux:

node index.js

Go to http://127.0.0.1:3050/ in your browser.

Built With

  • Plotly.js - An open source JavaScript graphing library
  • D3.js - Data-Driven Documents which brings data to life using HTML, SVG, CSS.
  • NodeJS - JavaScript runtime built on Chrome's V8 JavaScript engine.
  • scikit-learn - Python library for Machine Learning

Contributing

  1. Fork it (https://github.com/amulyagaur/visualBox.git)
  2. Create your feature branch (git checkout -b feature/fooBar)
  3. Commit your changes (git commit -am 'Add some fooBar')
  4. Push to the branch (git push origin feature/fooBar)
  5. Create a new Pull Request

expressml's People

Contributors

amulyagaur avatar harshnayak97 avatar lazy-pro avatar coderdoze avatar

Watchers

James Cloos avatar

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