https://github.com/sourdoughcat/cs7641-machine-learning
Machine Learning code for CS7641
https://github.com/sourdoughcat/cs7641-machine-learning
Last synced: 6 months ago
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Machine Learning code for CS7641
- Host: GitHub
- URL: https://github.com/sourdoughcat/cs7641-machine-learning
- Owner: SourdoughCat
- Created: 2015-05-12T09:09:46.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2017-10-20T02:14:58.000Z (over 7 years ago)
- Last Synced: 2024-12-09T00:09:44.070Z (6 months ago)
- Language: Java
- Size: 1.18 MB
- Stars: 7
- Watchers: 1
- Forks: 27
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.md
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README
Readme
======
This contains my code used for CS7641 course for machine learning. Various pieces of code were taken from INRA (MDP toolbox) with edited ABAGAIL and ml code from https://github.com/pushkar.
Toolset used
============
Supervised Learning
-------------------
R - see readme for dependencies
Randomized Optimization
-----------------------
* Matlab
* Java (ABAGAIL)
* Jython/Python
* R
Unsupervised Learning
---------------------
* R - see readme for dependencies
Markov Decision Process
-----------------------
* Matlab - with [MDPtoolbox from INRA](http://www7.inra.fr/mia/T/MDPtoolbox/), with [car race problem](https://mulcyber.toulouse.inra.fr/frs/?group_id=11&release_id=579)