<div dir="ltr"><div>Whoops - the "What" should have been:<br><br></div>What: k-nearest neighbors classification, logistic regression, k-means clustering<br></div><div class="gmail_extra"><br><br><div class="gmail_quote">
On Mon, Jan 27, 2014 at 9:45 AM, Mike Schachter <span dir="ltr"><<a href="mailto:cubicgoats@gmail.com" target="_blank">cubicgoats@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="ltr"><div><div><div><div><div><div><div><div><br>When: Thursday, 1/30/2014 @ 7pm<br><br>Where: Noisebridge, Church Classroom in Northeast Corner<br></div><br>What: k-means Classification, Logistic Regression<br>
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<br></div></div><div>Who: People just beginning Data Science, or those wanting to learn how to do it in Python.<br></div><div><br>Why: Education should be free<br><br></div>In Machine Learning, "classification" refers to predicting the category of something given a set of features:<br>

<br><a href="http://en.wikipedia.org/wiki/Statistical_classification" target="_blank">http://en.wikipedia.org/wiki/Statistical_classification</a></div></div><br></div>We'll be using the SAGE Python distribution:<br><br>
<a href="http://www.sagemath.org/" target="_blank">http://www.sagemath.org/</a><br>
<br></div><div>and scikits.learn:<br><br><a href="http://scikit-learn.org/stable/" target="_blank">http://scikit-learn.org/stable/</a><br></div><div><br></div><div>See you there!<span class="HOEnZb"><font color="#888888"><br>
</font></span></div><span class="HOEnZb"><font color="#888888"><div><br></div>  mike<br><div><div><div><div><br>
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