BEGIN:VCALENDAR PRODID;X-RICAL-TZSOURCE=TZINFO:-//Calagator//EN CALSCALE:GREGORIAN X-WR-CALNAME:Calagator METHOD:PUBLISH VERSION:2.0 BEGIN:VTIMEZONE TZID;X-RICAL-TZSOURCE=TZINFO:America/Los_Angeles BEGIN:STANDARD DTSTART:20131103T020000 RDATE:20131103T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD BEGIN:DAYLIGHT DTSTART:20140309T020000 RDATE:20140309T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20140115T203845Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140129T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140129T183000 DTSTAMP;VALUE=DATE-TIME:20140115T203845Z LAST-MODIFIED;VALUE=DATE-TIME:20140127T004837Z UID:http://calagator.org/events/1250465513 DESCRIPTION:**Date has changed from Tuesday\, Jan. 28\, 2014 to Wednesday ** \;\n \;\nDevin Gaffney will give a presentation on homophily\, and demonstrate inferences that can be gleaned from examining social ne tworks. After the talk we will head over to Pints for drinks and discuss ion. \;\n \;\nBackground Information: \;\n \;\n \;\nhttp s://github.com/DGaffney/dgaff_sxsw_presentation \;\n \;\n \;\n http://www.uvm.edu/~pdodds/files/papers/others/2001/mcpherson2001a.pdf&# 13\;\n\n\nTags: data science\, data mining\n\nImported from: http://cala gator.org/events/1250465513 URL:http://bit.ly/1dtoqsY SUMMARY:Portland Data Science Group Presentation Night: "Commonality in S ocial Networks" LOCATION:Little Bird Technologies: 506 SW 6th\, Suite 200\, Portland Oreg on 97205 US SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20140226T015813Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140225T193000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140225T183000 DTSTAMP;VALUE=DATE-TIME:20140226T015813Z LAST-MODIFIED;VALUE=DATE-TIME:20140415T172412Z UID:http://calagator.org/events/1250465744 DESCRIPTION:NetworkX is a Python language software package for the creati on\, manipulation\, and study of the structure\, dynamics\, and function s of complex networks. NetworkX is ideal of doing medium scale network a nalysis (millions of nodes and edges)\, and has a number of helpful feat ures including embedded visualization tools and graph data generators. H uston Hedinger will introduce using NetworkX to analyze social networks and basic network concepts. Additionally\, he will talk through 'dispers ion’ an algorithm recently discovered by Facebook researchers that predi cts romantic relationships in Facebook networks with up to 60% accuracy. Huston recently adapted the algorithm to be included in NetworkX as a m easure of centrality. http://networkx.github.io/\n\nTags: meetup:event=1 63983002\, meetup:group=Portland-Data-Science-Group\n\nImported from: ht tp://calagator.org/events/1250465744 URL:http://www.meetup.com/Portland-Data-Science-Group/events/163983002/ SUMMARY:Social Network Analysis 101 with Python LOCATION:Little Bird Technologies: 506 SW 6th\, Suite 200\, Portland Oreg on 97205 US SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20140418T023520Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140430T193000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140430T183000 DTSTAMP;VALUE=DATE-TIME:20140418T023520Z LAST-MODIFIED;VALUE=DATE-TIME:20140418T023520Z UID:http://calagator.org/events/1250466040 DESCRIPTION:Everyone and their dog are turning out graphs of social netwo rks. My helpers are Bonnie and Vinson. With their help I will construct visualizations of interesting data using R and its libraries. R does a v ery nice job of pulling in the data then visualizing it. I will present a few libraries from R. gRim\, gRain\, gRbase\, gRapHD\, igraph\, Rgraph viz. The talk will have more pretty pictures of data visualizations than code and theory. Enough Theory so that you will be able to tell if your results pass the smell test. Or in others words how confident you can b e with your results. All the R code will be available. One of the books that I am basing this talk on is: Graphical models with R by Soren Hojsg aard\, David Edwards and Steffen Lauritzen published by Springer An exam ple dataset in the book is carcass. I will come up with data to replace this data set. Although Bonnie and Vinson approve of the data set.\n\nTa gs: meetup:event=175353692\, meetup:group=Portland-Data-Science-Group\n\ nImported from: http://calagator.org/events/1250466040 URL:http://www.meetup.com/Portland-Data-Science-Group/events/175353692/ SUMMARY:Data Visualizations in R presented by Mary Anne Thygesen LOCATION:Little Bird Technologies: 506 SW 6th\, Suite 200\, Portland Oreg on 97205 US SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20140718T185848Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140723T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140723T183000 DTSTAMP;VALUE=DATE-TIME:20140718T185848Z LAST-MODIFIED;VALUE=DATE-TIME:20140718T185848Z UID:http://calagator.org/events/1250466679 DESCRIPTION:Python is quickly becoming the go-to language for data analys is. There are so many tools out there that it can be overwhelming for th ose that are new to analyzing data in Python. In this presentation\, I’l l discuss several of the best tools for working with data\, how to struc ture a data analysis workflow\, and which tools are appropriate for hand ling different kinds of data. You’ll leave with a good understanding of different data analysis techniques in Python and some ideas to try on yo ur own. \;\n \;\nI’ll show you examples of each of the following:& #13\;\n \;\n* Data preprocessing \;\n* Using Scikit-learn for mach ine learning \;\n* Using the Natural Language Toolkit for natural lan guage processing \;\n*Running MapReduce jobs with MRjob \;\n*Visua lizing our results with matplotlib \;\n\n\nTags: #OSCON\, #PortlandDa taScienceGroup\, #Python\, #MachineLearning\n\nImported from: http://cal agator.org/events/1250466679 URL:http://www.meetup.com/Portland-Data-Science-Group/events/194584542/ SUMMARY:OSCON Talk: Analyzing Data with Python with Sarah Guido LOCATION:Little Bird Technologies: 506 SW 6th\, Suite 200\, Portland Oreg on 97205 US SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20141002T140504Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20141021T183000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20141021T163000 DTSTAMP;VALUE=DATE-TIME:20141002T140504Z LAST-MODIFIED;VALUE=DATE-TIME:20141002T140504Z UID:http://calagator.org/events/1250467088 DESCRIPTION: Come join an amazing group of women for happy hour at Little Bird! No specific agenda\, just network and have fun! Make sure you say hi to Amie Kuttruff\, a Web Developer at Little Bird. Read our newslet ter for more information about Amie! \;\n \;\nPDX Women in Tech exists to celebrate professional women in the Portland-metro area who wo rk with\, manage\, lead or have an interest in TECHNOLOGY. Whether you a re developing event-driven\, non-blocking applications in node.js or set ting technology strategy for a Fortune 500 company–or anything in betwee n–come join us!\n\nTags: women\, pdx\, networking\n\nImported from: http ://calagator.org/events/1250467088 URL:http://www.eventbrite.com/e/pdx-women-in-tech-pdxwit-happy-hour-netwo rking-event-tickets-13398736983?aff=es2&rank=0 SUMMARY:PDX Women in Tech (PDXWIT) Happy Hour Networking Event LOCATION:Little Bird Technologies: 506 SW 6th\, Suite 200\, Portland Oreg on 97205 US SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20141027T020429Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20141029T193000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20141029T183000 DTSTAMP;VALUE=DATE-TIME:20141027T020429Z LAST-MODIFIED;VALUE=DATE-TIME:20141027T020429Z UID:http://calagator.org/events/1250467240 DESCRIPTION:Come learn about Kaggle (http://www.kaggle.com)\, an online c ommunity pitting teams of data scientists against interesting problems. Whether you are totally new to Kaggle or already working on a competitio n please join us for an exciting evening of discussion and data hacking. If you are interested in working on some real world data problems this event is for you! All experience levels welcome. The evening will begin with an overview of Kaggle - how to sign up\, machine learning resources \, and how to pick a project\, followed by a break out session where tea ms can start looking into competitions of interest.\n\nTags: meetup:even t=213258482\, meetup:group=Portland-Data-Science-Group\n\nImported from: http://calagator.org/events/1250467240 URL:http://www.meetup.com/Portland-Data-Science-Group/events/213258482/ SUMMARY:Kaggle Workshop! LOCATION:Little Bird Technologies: 506 SW 6th\, Suite 200\, Portland Oreg on 97205 US SEQUENCE:1 END:VEVENT END:VCALENDAR