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TriPython February 2014 Meeting: Introduction to Scikit-learn

To get full and timely notifications of all TriPython events and discussions, subscribe to the TriPython email list at Full information about TriPython is available on the website at Tim Hopper, data prediction analyst for startup, will reprise his iPython Notebook presentation about the machine learning API for Python: scikit-learn. Extemporaneous "lightning talks" of 5-10 minute duration are also welcome and don't need to be pre-announced. Plenty of free after hours parking is available in the upper level of the deck behind WebAssign (turn through the median just before the intersection of Varsity and Main Campus Drives). If the door is locked, call the number posted on the door. An after-meeting location for food and beverage will be decided at the meeting (usually BaDa Wings for the Thursday night draught specials).

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  • Chris C.

    Tim Hopper knows his stuff. Scikit-learn is an elegant library.

    February 28, 2014

  • Christopher C.

    This sounds awesome. As someone who's new to machine learning, can anyone suggest resources to address ahead of time in order to get the most out of this session?

    January 31, 2014

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