https://github.com/ultrasaurus/ml_class

code for the ml class
https://github.com/ultrasaurus/ml_class

Last synced: 3 months ago
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code for the ml class

• Host: GitHub
• URL: https://github.com/ultrasaurus/ml_class
• Owner: ultrasaurus
• Fork: true (hmason/ml_class)
• Created: 2011-07-31T21:51:44.000Z (almost 13 years ago)
• Default Branch: master
• Last Pushed: 2011-07-31T23:19:39.000Z (almost 13 years ago)
• Last Synced: 2024-01-18T11:02:45.998Z (5 months ago)
• Language: Python
• Homepage: http://www.hilarymason.com
• Size: 469 KB
• Stars: 29
• Watchers: 4
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• alex-mikhalev-awesome-stars - ml_class - code for the ml class (Python)

README

        
Machine Learning

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

class taught by [Hilary Mason](http://www.hilarymason.com/)

Install 

--------

* JSONView Chrome extension

* Python (2.5, 2.6 or 2.7). Note forom scipy.org: NumPy installer should be used with the Python from http://python.org, not with Apple Python. These two are indeed incompatible, for one the python.org version is 32-bit while Apple version is 64-bit. Apple is also way behind on security updates, so normally python.org is the way to go. 

* [NLTK](http://www.nltk.org/download)

* [NumPy](http://sourceforge.net/projects/numpy)

* pycluster

* hcluster

Verify your install (the commands below after '$' should be typed at the command prompt, the rest is sample output)

    $ python --version

    Python 2.6.1

any version of 2.5, 2.6 or 2.7 is fine. 3.0 is not going to work.

    $ python

    Python 2.6.1 (r261:67515, Jun 24 2010, 21:47:49) 

    [GCC 4.2.1 (Apple Inc. build 5646)] on darwin

    Type "help", "copyright", "credits" or "license" for more information.

    >>> import nltk

    >>> 

    

If you don't get an error, it means it worked. Type exit() to leave the interactive python console.

References

----------

* [Peter Skomoroch's dataset Bookmarks](http://www.delicious.com/pskomoroch/dataset)

* [Data Source Handbook by Pete Warden](http://oreilly.com/catalog/0636920018254)

Classifying Web Documents

-------------------------

Register for an API key at http://developer.nytimes.com/apps/register and select "Article Search API"

![Article Search API](https://img.skitch.com/20110731-b79yqahpf58d43ss2grqi1pi8.png)

example command-line:

curl "http://api.nytimes.com/svc/search/v1/article?query=jazz&api-key="

    python nytimes_pull.py

creates two files "arts" and "sports"

Naive Bayes Clasifier

  python