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bookie.html
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<!DOCTYPE html>
<html>
<head>
<title>Milton Leung</title>
<meta charset="UTF-8">
<meta name="description" content="Projects by Milton Leung, a Canadian software developer.">
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<body>
<a href="/"><img class="action-shortcut" src="assets/home.svg" alt="Home"></a>
<header>
<h1>Bookie</h1>
<h3>AUGUST 2018</h3>
</header>
<div id="navigation">
<div class="row">
<div class="col-6">
<h7><a href="https://medium.com/coinmonks/4-718-using-machine-learning-to-bet-on-the-nhl-25d16649cd52">MEDIUM</a></h7>
</div>
<div class="col-6">
<h7><a href="https://github.com/miltonleung/Bookie">GITHUB</a></h7>
</div>
</div>
</div>
<div class="section">
<img id="bookie-main" alt="Bookie" src="assets/bookie-main.jpg">
</div>
<div class="section" id="info">
<div id="info-wrapper">
<p>Can machine learning be used to bet on NHL games?
<br /><br />
I explore this question in depth in my <a href="https://medium.com/coinmonks/4-718-using-machine-learning-to-bet-on-the-nhl-25d16649cd52">Medium article</a>.
<br />
The results?
<br /><br />
Model Accuracy:
<br />
<span id="stat">67.22%</span>
<br /><br />
How much I could have made betting <br />on 2017-2018 season:
<br />
<span id="stat">$4,718</span>
<br /><br />
Using over ten seasons of data from 2007-2018 season and a myriad of advanced hockey statistics, I created a machine learning model that can predict 0.03% short of Vegas'. I used Python to do web scraping, pandas for data processing, and scikit-learn for machine learning.
</p>
</div>
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<h7><a href="mailto:[email protected]">EMAIL</a></h7>
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<h7><a href="https://github.com/miltonleung/">GITHUB</a></h7>
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<h7><a href="https://www.linkedin.com/in/leungmilton">LINKEDIN</a></h7>
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<h7><a href="https://devpost.com/miltonleung">DEVPOST</a></h7>
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<p>© Milton Leung 2018</p>
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