Hello Jake and Andy, If you would not mind some advice, I would suggest including examples (or at least one) where you use data that is not built-in. I remember the first several tutorials (if not all of them) relied completely on built-in data sets and unapologetically ignored the big elephant in the room that people will need to import/read-in their own data and have to deal with it in scikit-learn one way or another, either through pandas or numpy and these will then hand the data over to the appropriate scikit-learn routines.
Ignoring coverage of this aspect (and likewise the issue of how to deal with categorical data in data sets), in such tutorials, in my humble opinion presents a somewhat uneasy hurdle to getting started with the scikit-learn tool set. I for one had to use R just to overcome these issues when I first started with this, even though I would have preferred to use Python and its data science stack due to my experience with and preference of Python over R. Best regards On 9/30/2015 8:22 PM, Andy wrote: > Hi Jake. > I think the tutorial Kyle and I did based on the previous tutorials > was working quite well. > I think it would make sense to work of our scipy ones and improve them > further. > I'd be happy to work on it. > We have some more exercises in a branch, and I have also improved > versions of some of the notebooks that I have been using for teaching. > > Andy > > > On 09/29/2015 06:48 PM, Jacob Vanderplas wrote: >> Hi All, >> PyCon 2016 call for proposals >> <https://us.pycon.org/2016/speaking/tutorials/> just opened. For the >> last several years Olivier and I have been teaching a two-part >> scikit-learn tutorial at each PyCon, and I think they have gone over >> well. >> >> As the conference is just a few hour train ride away for me this >> year, I'm certainly going to attend again. I'd also love to put >> together one or more scikit-learn tutorials again this year – if >> you're planning to attend PyCon and would like to work together on a >> proposal or two, let me know! >> Jake >> >> Jake VanderPlas >> Senior Data Science Fellow >> Director of Research in Physical Sciences >> University of Washington eScience Institute >> >> >> ------------------------------------------------------------------------------ >> >> >> _______________________________________________ >> Scikit-learn-general mailing list >> Scikit-learn-general@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > ------------------------------------------------------------------------------ > > > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
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