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<!DOCTYPE HTML>
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<title>CSCI 8360: Data Science Practicum</title>
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<h1>CSCI 8360: Data Science Practicum</h1>
<p style="font-size: 1.0em;">As a <a href="https://en.wikipedia.org/wiki/Practicum">practicum</a>, this
course consists of a handful of <strong>group projects</strong>.</p>
<p style="font-size: 1.0em;">In each project, you and your team will employ <strong>data science and machine
learning methods</strong> to answer a question using real-world datasets.<br />
Meanwhile, the other teams will also be designing their own approaches.</p>
<p style="font-size: 1.0em;"><strong>Leaderboards</strong> will track the performance
of each team's submission, scoring them against a hidden ground-truth.</p>
<p style="font-size: 1.0em;"><strong>Will your team submit the best model?</strong><br />
<strong>Will it be the best-designed code, best-documented project, and best-presented methods?</strong><br />
<strong>Can your team beat the all-time records for each project?</strong></p>
<hr>
<p style="font-size: 1.5em;"><span style="color: red; font-style: bold;">This class is not an introductory data science course.</span><br />
This course assumes prior knowledge and
experience in <strong>programming</strong>, <strong>statistics</strong>, and
<strong>machine learning</strong>.<br /> These are <strong>requirements</strong>; it is <strong>NOT</strong> recommended to take the course without them.</p>
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