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ML-musGenre.html
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<!DOCTYPE HTML>
<!--
Massively by HTML5 UP
html5up.net | @ajlkn
Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
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<html>
<head>
<title>Andrina - Machine Learning</title>
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<h2>Music Genre Classification</h2>
<h3>implementing kNN, SVM, CNN and RNN</h3>
<p> <strong>Team contribution: </strong><br>
</p>
Team Lead / Project Management, Exploratory Data Analysis, <br>
Data Visualization, Convolutional Neural Network
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<div class="row aln-center col-6" style="display: flex; flex-direction: column; justify-content: center; align-items: center;">
<p> I proposed the topic and led a group of 5 to work on this project.
Our study aims to develop an <strong>advanced music genre classification system</strong> with the objective of
enhancing personalized recommendation mechanisms and user experience.
By employing K-Nearest Neighbors (KNN), Support Vector Machines (SVM),
and Neural Networks (CNN, RNN), the comprehensive classification model is capable of
accommodating a wide spectrum of music genres. The dataset comprises audio recordings of
songs, evaluated through an array of attributes such as spectral information,
rhythmic patterns, along with multiple other extracted features in CSV files.
The efficacy of our proposed music genre classification system is gauged through numerous evaluation metrics,
enabling the selection of the most efficient model and optimizing models' classification
performance and their capability to accurately predict music genres. By demonstrating high accuracy and
robustness, our tool exhibits its effectiveness and dependability and promising
improvements in music recommendation systems.
</p>
</div>
<h3>The following file is our detailed project:</h3>
<embed src= "showcases/XiaoxuanZhang-MusGenre.pdf" width= "900" height= "660">
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<p><a href="mailto:xiz031@ucsd.edu">xiz031@ucsd.edu</a></p>
<p><a href="mailto:andrina.zhang@outlook.com">andrina.zhang@outlook.com</a></p>
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<p><a href="https://www.linkedin.com/in/andrina-zhang">https://www.linkedin.com/in/andrina-zhang</a></p>
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<h3>GitHub</h3>
<p><a href="https://github.com/Andrinazxx">https://github.com/AndrinaZxx</a></p>
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