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assignments.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Assignments</title>
<link rel="stylesheet" href="style.css" />
</head>
<body>
<header>
<h1>Assignments</h1>
<nav>
<a href="index.html">About Me</a>
<a href="work-experience.html">Work Experience</a>
<a href="projects.html">Projects</a>
<a href="contact.html">Contact</a>
<a href="assignments.html">Assignments</a>
</nav>
</header>
<section class="assignment-section">
<div class="assignment-entry">
<h2>Assignment 0: Add Two Numbers Script</h2>
<p>
In Assignment 0, I wrote a python script that adds two numbers
together and prints their sum to terminal.
</p>
<a
href="https://github.com/pengrui26/pengruif-assignment-0"
class="github-link"
target="_blank"
>Github Link</a
>
</div>
<div class="assignment-entry">
<h2>Assignment 1: Data Collection and Analysis</h2>
<p>
In Assignment 1, I wrote a python script to do Data Collection and
Analysis about the best waiting location for CDS Elevators.
</p>
<a
href="https://github.com/pengrui26/pengruif-assignment-1"
class="github-link"
target="_blank"
>Github Link</a
>
</div>
<div class="assignment-entry">
<h2>Assignment 2: KMeans Clustering Visualization Webpage</h2>
<p>
In Assignment 2, I developed an interactive web application that
demonstrates the KMeans clustering algorithm using various
initialization methods.
</p>
<a
href="https://github.com/pengrui26/pengruif-assignment-2"
class="github-link"
target="_blank"
>Github Link</a
>
<h3>Demo Video:</h3>
<video width="320" height="240" controls>
<source src="demo.mov" type="video/mp4" />
Your browser does not support the video tag.
</video>
</div>
<div class="assignment-entry">
<h2>
Assignment 3: SVD Preprocessing on MNIST with Logistic Regression
</h2>
<p>
In Assignment 3, I applied Singular Value Decomposition (SVD) as a
preprocessing step to the MNIST dataset, trained a logistic regression
classifier, and compared the model performance and training time when
using different levels of SVD for dimensionality reduction.
</p>
<a
href="https://github.com/pengrui26/pengruif-assignment-3"
class="github-link"
target="_blank"
>Github Link</a
>
</div>
<div class="assignment-entry">
<h2>
Assignment 4: Latent Semantic Analysis (LSA) Search Engine Webpage
</h2>
<p>
In Assignment 4, I developed an interactive web application that
implements a basic search engine using Latent Semantic Analysis (LSA).
The search engine will take a user's query, perform LSA on a pool of
documents, and return the top documents based on cosine similarity.
</p>
<a
href="https://github.com/pengrui26/pengruif-assignment-4"
class="github-link"
target="_blank"
>Github Link</a
>
<h3>Demo Video:</h3>
<video width="320" height="240" controls>
<source src="hw4_demo.mov" type="video/mp4" />
Your browser does not support the video tag.
</video>
</div>
<div class="assignment-entry">
<h2>Assignment 5: Predicting Customer Churn Using KNN</h2>
<p>
In this assignment, I developed a predictive model to identify
customers who are likely to churn (i.e., leave the bank) using the
K-Nearest Neighbors (KNN) algorithm. Customer churn is a significant
problem in the banking industry, as retaining customers is often more
cost-effective than acquiring new ones. By accurately predicting which
customers are likely to churn, banks can take proactive steps to
improve customer retention.
</p>
<a
href="https://github.com/pengrui26/pengruif-assignment-5"
class="github-link"
target="_blank"
>Github Link</a
>
</div>
</section>
<footer><p>© 2024 Pengrui Fan</p></footer>
</body>
</html>