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  1. SciKit-Learn Tutorial - Jake VanderPlas


    from PyData Added 4,601 34 1

    Machine Learning is a discipline involving algorithms designed to find patterns in and make predictions about data. It is nearly ubiquitous in our world today, and used in everything from web searches…

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    • Simulated Algorithmic Trading with Zipline - Thomas Wiecki


      from PyData Added 5,203 10 0

      Python is quickly becoming the glue language which holds together data science and related fields like quantitative finance. Zipline is a new, BSD-licensed quantitative trading system which allows…

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      • Timeseries and Pandas - Chang She


        from PyData Added 2,915 23 0

        Since v0.8, the pandas library has greatly expanded its timeseries functionality. This tutorial will give an introduction to working with timeseries data in pandas. We'll cover how to create…

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        • Lightning Talk - Mike Selik - End of Kaggle


          from PyData Added 2,408 7 1

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          • Lightning Talk - Travis Oliphant - Numba


            from PyData Added 556 4 0

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            • Panel - GPU and Parallel Processing


              from PyData Added 1,789 7 0

              Panelists: Andy Terrel, Thomas Wiecki, Andreas Klockner, Brian Granger Moderator: Travis Oliphant

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              • Hadoop Python Integration and Pig - K Young


                from PyData Added 1,597 19 0

                This talk was presented at PyData NYC 2012: http://nyc2012.pydata.org/. If you are interested in this topic, be sure to check out PyData Silicon Valley in March of 2013: http://sv2013.pydata.org/

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                • SciKit Random Forest - Brian Eoff


                  from PyData Added 5,635 22 0

                  There was a time when the go to machine learning library was Weka, a behemoth of a Java library. Recently, Scikit-Learn has chipped away at the functionality provided by Weka, and given the Python…

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                  • Pandas


                    from PyData Added 653 7 0

                    Pandas: Powerful Data Analysis Tools for Python Presentation by Wes McKinney

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                    • Zipline in the Cloud: Optimizing Financial Trading Algorithms


                      from PyData Added 1,614 8 0

                      Simulation has become an indispensable research tool across different scientific disciplines ranging from neuroscience to econometrics and quantitative finance. These computational simulations often…

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                      • Lighting Fast Cluster Computing with PySpark


                        from PyData Added 708 8 0

                        This talk will introduce PySpark a framework for cluster scale data-intensive computing. PySpark is a deeply integrated set of Python API bindings for the popular Spark computation engine. Spark provides…

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