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  <div class="vevent h-event"> <h1 class="summary p-name">Hacking Oregon's Hidden Political Connections</h1> <div class='date'><time class="dtstart dt-start" title="2015-10-27T19:00:00" datetime="2015-10-27T19:00:00">Tuesday, October 27, 2015 from 7</time>–<time class="dtend dt-end" title="2015-10-27T21:00:00" datetime="2015-10-27T21:00:00">9pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202393154'><span class='fn org p-name'>Simple</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">1615 SE 3rd Ave, Suite 200</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">OR</span> <span class="postal-code p-postal-code">97214</span> <div class="country-name p-country-name">US</div> (<a href='https://maps.google.com/maps?q=1615%20SE%203rd%20Ave,%20Suite%20200,%20Portland%20OR%2097214%20US'>map</a>) </div> </div> <div class="description p-description"> <p><a href="https://www.linkedin.com/in/hobsonlane">Hobson Lane</a> will be doing a case study on recent work done on <a href="http://www.hackoregon.org/">Hack Oregon</a>'s Behind the Curtain project.</p> <p>He'll walk through several things:</p> <ul> <li><p>Using python sets and pandas to find relationships between database tables, between politicians and the Ashley Madison dump, and between political action committees that you'd never imagine would support each other.</p></li> <li><p>Using sklearn and TFIDF to compare committee descriptions.</p></li> <li><p>Using d3 force-directed graphs to do interactive visualization and clustering on that network of connections.</p></li> </ul> <p>Another joint meetup with the <a href="http://www.meetup.com/Portland-Data-Science-Group/">Portland Data Science Group</a>.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="http://www.meetup.com/Portland-Data-User-Group/events/225876124/">Website</a></li> </ul> </div>