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<oembed><version>1.0</version><provider_name>CS/DS Student Portfolios</provider_name><provider_url>https://portfolios.cs.earlham.edu</provider_url><author_name>James Tran</author_name><author_url>https://portfolios.cs.earlham.edu/index.php/author/ptranh14/</author_url><title>Capstone Abstracts - v1 - CS/DS Student Portfolios</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="tSfrfHuHhl"&gt;&lt;a href="https://portfolios.cs.earlham.edu/index.php/2017/02/06/abstracts-about-data-science/"&gt;Capstone Abstracts &#x2013; v1&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://portfolios.cs.earlham.edu/index.php/2017/02/06/abstracts-about-data-science/embed/#?secret=tSfrfHuHhl" width="600" height="338" title="&#x201C;Capstone Abstracts &#x2013; v1&#x201D; &#x2014; CS/DS Student Portfolios" data-secret="tSfrfHuHhl" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>This paper will describe a project created using support vector machines (SVM) to predict stock price. Since the method is support vector machines, the data must be labeled, which fits what needed for stock evaluation. Stock&#x2019;s information comes from its &hellip; Read More</description></oembed>
