https://github.com/mdbecker/pydata_2013

PyData Boston 2013 talks: "Intro to scikit-learn" & "Realtime Predictive Analytics: Using scikit-learn and RabbitMQ"
https://github.com/mdbecker/pydata_2013

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PyData Boston 2013 talks: "Intro to scikit-learn" & "Realtime Predictive Analytics: Using scikit-learn and RabbitMQ"

• Host: GitHub
• URL: https://github.com/mdbecker/pydata_2013
• Owner: mdbecker
• License: gpl-3.0
• Created: 2013-07-29T19:47:41.000Z (almost 13 years ago)
• Default Branch: master
• Last Pushed: 2014-01-05T02:46:53.000Z (over 12 years ago)
• Last Synced: 2025-05-13T14:35:35.474Z (about 1 year ago)
• Homepage:
• Size: 44.8 MB
• Stars: 11
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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pydata_2013

===========

PyData Boston 2013 talks: "Intro to scikit-learn" & "Realtime Predictive Analytics: Using scikit-learn and RabbitMQ"

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![The best company in the universe](/AWeber_Universe.jpg "The best company in the universe")

Intro to scikit-learn

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In this talk you will get a brief overview of Machine Learning and scikit-learn. This is a repeat of the talk I gave for PhillyPUG & DataPhilly which is a scaled down version of this talk from Pycon 2013 http://github.com/jakevdp/sklearn_pycon2013.

[![ScreenShot](http://i.imgur.com/7fFKU1G.png)](http://vimeo.com/72859487)

[SlideShare](http://www.slideshare.net/aweberinc/intro-to-scikit-learn-pydata-boston-2013)

Realtime Predictive Analytics: Using scikit-learn and RabbitMQ

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In this talk I'll describe how to deploy a predictive model in a production environment using RabbitMQ and scikit-learn. I'll show a realtime content classification system to demonstrate this design.

[![ScreenShot](http://i.imgur.com/7mNdaaj.png)](http://vimeo.com/73628112)

[SlideShare](http://www.slideshare.net/aweberinc/realtime-predictive-analytics-pydata-boston-2013)