https://github.com/traviskaufman/coursera-ml-bootstrap

:computer: :apple: Sane env for coursera's Stanford Machine Learning course
https://github.com/traviskaufman/coursera-ml-bootstrap

Last synced: 7 days ago
JSON representation

:computer: :apple: Sane env for coursera's Stanford Machine Learning course

• Host: GitHub
• URL: https://github.com/traviskaufman/coursera-ml-bootstrap
• Owner: traviskaufman
• License: wtfpl
• Created: 2016-09-30T04:00:51.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2016-10-04T03:37:42.000Z (over 8 years ago)
• Last Synced: 2025-01-08T15:55:22.781Z (16 days ago)
• Language: Shell
• Homepage:
• Size: 27.3 KB
• Stars: 0
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Machine Learning Bootstrap!

Let's learn how to make machines learn in a way that isn't painful!

This repo is inspired by https://github.com/hilalh/vagrant-octave

You can use it as a starting setup for the [Coursera Machine Learning Course](https://www.coursera.org/learn/machine-learning).

It comes with:

- A virtual machine you can use to run Octave.

- Gnuplot for nicer plotting

- An octaverc file that ensures the right directory every time

## Setting everything up

1. Install [Virtualbox](https://www.virtualbox.org/wiki/Downloads), [Vagrant](https://www.vagrantup.com/downloads.html), and [XQuartz](https://www.xquartz.org/) if you haven't already

2. Clone this repo

3. `cd` into the repo and run `vagrant up`. Note you might get an error

   if vagrant tries to install VirtualBox for you. If this happens, just

   re-run the command and it should work.

Test your setup by `vagrant ssh`ing into your box, then running `octave`, and typing `sombrero(30);` at the prompt.

## Usage

Put each assignment as a subdir within `homework`. The `homework` dir is synced to the `/ml` directory on the machine.

The machine is configured to forward to `X11` for plotting and use `gnuplot` for some  solid output.

**Pro-tip:** `alias oct=octave --no-gui` is nice.

## License: WTFPL