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ml_projects.html
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<!DOCTYPE html>
<html lang="en-US">
<head>
<meta charset="utf-8">
<meta name="author" content="RoyH11">
<meta
name="description"
content="Roy Huang's / Ruoqiu Huang's Personal Website"
>
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Roy Huang's Personal Website</title>
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</head>
<body class="body-bg-gw">
<header>
<nav>
<button id="dropdownButton">Menu</button>
<ul id="navList">
<li><a href="index.html">Welcome</a></li>
<li><a href="resume.html">Resume</a></li>
<li><a href="ml_projects.html">ML Projects</a></li>
<!-- <li><a href="my_life.html">My Life</a></li>
<li><a href="java_cheet_sheet.html">Java Cheet Sheet</a></li> -->
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<div style="text-align: right;">
<a href="Roy_Huang_Resume_ML.pdf" download style="padding: 10px 20px; background-color: #ADD8E6; color: black; text-decoration: none; border-radius: 5px;">Download PDF Resume</a>
</div>
<h1>Roy Huang</h1>
<div class="section">
<h3><a href="https://github.com/RoyH11/ML_final_project" target="_blank">MNIST Binary and Multi-Class Classification</a></h3> <p>Pattern Recognition Class Final Project - 2023 Fall</p>
<ul>
<li>Developed Python project for binary and multi-class classification tasks on MNIST dataset</li>
<li>For binary classification, implemented linear classifiers including Gaussian and logistic regression with regularization</li>
<li>For multi-class classification, utilized Gaussian multi-channel classifier and logistic regression with SoftMax</li>
<li>Achieved accurate classification results through evaluation on training, validation, and test datasets, and demonstrated the application of hyperparameter optimization techniques</li>
</ul>
<h3>Project 2</h3>
<ul>
<li>In progress</li>
</ul>
<h3>Project 3</h3>
<ul>
<li>In progress</li>
</ul>
</div>
</div>
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<p>Last Modified: Feb. 2024
<br>© 2024 Roy Huang. All rights reserved.</p>
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