https://github.com/homuler/coursera-ml-julia

Coursera Stanford Machine Learning course in Julia
https://github.com/homuler/coursera-ml-julia

Last synced: about 2 months ago
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Coursera Stanford Machine Learning course in Julia

• Host: GitHub
• URL: https://github.com/homuler/coursera-ml-julia
• Owner: homuler
• License: other
• Created: 2015-11-29T08:42:32.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2016-02-16T15:01:37.000Z (almost 9 years ago)
• Last Synced: 2024-03-23T13:00:29.383Z (10 months ago)
• Language: Julia
• Size: 18.6 MB
• Stars: 17
• Watchers: 4
• Forks: 10
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# Coursera Machine Learning in Julia

## Description

Scripts for [Coursera Stanford Machine Learning](https://www.coursera.org/learn/machine-learning/home/welcome) assignments in Julia.  

As to exercises, this repository has only mock methods, so you should implement those first, and then submit the solutions.

## Requirements

Julia v0.4.x

scipy (to read .mat files)

You should also install some Julia libraries, as written in [REQUIRE](https://github.com/homuler/coursera-ml-julia/blob/master/REQUIRE).

## Usage

```shell

cd coursera-ml-julia/src/[exercise]

julia

julia> include("submit.jl") # when submitting

julia> submit()  

julia> include("ex1.jl") # when running exercise scripts

```

## ToDo

- Fix comments for Julia

- Migrate from PyPlot to Gadfly or Plotly

- Exercise7

  - Plot original data in 3D

  - 2D visualization produced using PCA (has some bugs...)