Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/mdbecker/sklearn_dataphilly_april2013
sklearn talk for dataphilly/phillypug based on github.com/jakevdp/sklearn_pycon2013 and http://scikit-learn.github.io/scikit-learn-tutorial/general_concepts.html
https://github.com/mdbecker/sklearn_dataphilly_april2013
Last synced: about 2 months ago
JSON representation
sklearn talk for dataphilly/phillypug based on github.com/jakevdp/sklearn_pycon2013 and http://scikit-learn.github.io/scikit-learn-tutorial/general_concepts.html
- Host: GitHub
- URL: https://github.com/mdbecker/sklearn_dataphilly_april2013
- Owner: mdbecker
- Created: 2013-04-16T18:46:49.000Z (over 11 years ago)
- Default Branch: master
- Last Pushed: 2013-05-30T16:05:28.000Z (over 11 years ago)
- Last Synced: 2023-03-12T08:28:49.623Z (almost 2 years ago)
- Language: Python
- Size: 441 KB
- Stars: 1
- Watchers: 4
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
sklearn_dataphilly_april2013
============================sklearn talk for April 16th [DataPhilly](http://www.meetup.com/DataPhilly/events/107740582/)/[PhillyPUG](http://www.meetup.com/phillypug/events/107707472/) talk based on:
http://github.com/jakevdp/sklearn_pycon2013
&
http://scikit-learn.github.io/scikit-learn-tutorial/general_concepts.htmlThese setup instructions should be good enough for this talk:
http://www.astroml.org/sklearn_tutorial/setup.htmlRequires:
* [ipython notebook](http://ipython.org/ipython-doc/stable/install/install.html#quickstart)
* [numpy](http://numpy.scipy.org/)
* [scipy](http://www.scipy.org/)
* [matplotlib](http://matplotlib.sourceforge.net/)
* [scikit-learn](http://matplotlib.sourceforge.net/)