https://github.com/masinoa/machine_learning

Python coded examples and documentation of machine learning algorithms.
https://github.com/masinoa/machine_learning

Last synced: 3 months ago
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Python coded examples and documentation of machine learning algorithms.

• Host: GitHub
• URL: https://github.com/masinoa/machine_learning
• Owner: masinoa
• Created: 2012-06-12T19:17:17.000Z (about 12 years ago)
• Default Branch: master
• Last Pushed: 2020-10-01T19:08:00.000Z (over 3 years ago)
• Last Synced: 2024-01-16T02:47:52.205Z (5 months ago)
• Language: Python
• Size: 662 KB
• Stars: 613
• Watchers: 57
• Forks: 391
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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• my-awesome-stars - masinoa/machine_learning - Python coded examples and documentation of machine learning algorithms. (Python)

README

        
machine_learning

================

This repo contains a collection of IPython notebooks detailing various machine learning algorithims. In general, the mathematics follows that presented by Dr. Andrew Ng's Machine Learning course taught at Stanford University (materials available from [ITunes U] (http://www.apple.com/education/itunes-u/), Stanford Machine Learning), Dr. Tom Mitchell's course at Carnegie Mellon (materials avialable [here](http://www.cs.cmu.edu/~tom/10701_sp11/)), and Christopher M. Bishop's "Pattern Recognition And Machine Learning". Unless otherwise noted, the Python code is orginal and any errors or ommissions should be attribued to me and not the aforemention authors.

Each ipynb provides a list of the pertinent reading material. It is suggested that the material be read in the order provided.

If you do not have IPython installed or Notebook configured (why not?) the src directory has .py versions of the notebook files and some of the PDF output files are in this repository's Downloads section. However, they are not always as updated as the ipynb files.

Python Version 2.7.2

IPython Version 0.13