GithubHelp home page GithubHelp logo

immersive-automation-ml-workshop's Introduction

Immersive Automation ML Workshop, Helsinki 2018

Today we're going to use machine learning to make predictions about online comments. Online comment curation is a task that online news sites often struggle with. Using machine learning can help moderators scale-up their ability to identify and remove low quality comments, or identify and highlight high quality comments.

Background

  • This tutorial assumes you have some basic knowledge of how to read and edit Python code. It uses Pandas as a data manipulation library, and Scikit Learn as the machine learning library.

Downloads

  • Let's make sure our computers are setup first. If you haven't already, download and install Anaconda: https://www.anaconda.com/download/#macos
  • Download the Jupyter Notebook for our project to a local folder on your computer. (Click the link and then download the version of the file using the "Raw" button)
  • Download the data we're going to use for training and testing our machine learning. Save the data file in the same folder with the Jupyter Notebook for the project. (Click the link and then download from Dropbox)

Getting Going

  • Once you have Anaconda installed, launch a Jupyter Notebook using the Anaconda Navigator graphical user interface.
  • In the Jupyter Notebook navigate to the downloaded notebook for the project and open it. Instructions continue there ...

immersive-automation-ml-workshop's People

Contributors

nickdiakopoulos avatar

Watchers

 avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.