<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Notes on Dennis Dang</title><link>https://dennisvdang.com/notes/</link><description>Recent content in Notes on Dennis Dang</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Sun, 22 Sep 2024 10:00:00 +0000</lastBuildDate><atom:link href="https://dennisvdang.com/notes/index.xml" rel="self" type="application/rss+xml"/><item><title>Predicting coffee purchases with decision trees</title><link>https://dennisvdang.com/notes/customer-purchase-prediction-case-study/</link><pubDate>Sun, 22 Sep 2024 10:00:00 +0000</pubDate><guid>https://dennisvdang.com/notes/customer-purchase-prediction-case-study/</guid><description>Introduction Understanding and predicting customer behavior is crucial for business success. This case study explores how a specialty coffee company leveraged decision trees and random forests to gain insights into their customer base and make informed business decisions.
Our challenge: predict whether customers would purchase a new product - Hidden Farm coffee - based on demographic and purchasing variables. This type of prediction is common across industries and can inform various business strategies, including:</description></item><item><title>Finding the chorus in a song with a neural network</title><link>https://dennisvdang.com/notes/automated-chorus-detection/</link><pubDate>Tue, 18 Jun 2024 10:00:00 +0000</pubDate><guid>https://dennisvdang.com/notes/automated-chorus-detection/</guid><description>Introduction As part of my ongoing quest to create an AI-powered DJ (a.k.a. Project Mixin), I needed a way to automatically identify the most engaging and memorable parts of songs - the choruses. Having an understanding of a song&amp;rsquo;s musical structure is crucial for DJs, whether human or machine, as it allows them to strategically select and transition between the most impactful sections.
You can find relevant resources on this project on Github and try out the Streamlit app on YouTube songs via Hugging Face.</description></item><item><title>Mixin: building an A.I. DJ</title><link>https://dennisvdang.com/notes/mixin-project/</link><pubDate>Wed, 07 Feb 2024 10:00:00 +0000</pubDate><guid>https://dennisvdang.com/notes/mixin-project/</guid><description>Introduction As a high school student, I discovered my passion for DJing through creating mixtapes for my friends using keyboard hotkeys on my bulky 20-pound laptop. Fast-forwarding 12 years later, I&amp;rsquo;ve honed my skills in both digital DJing and vinyl turntablism, performed at countless events (weddings, bar mitzvahs, street-dance competitions, you name it), started a mix collective with friends (shoutout After School Marine Club), and opened for touring artists in downtown Philly.</description></item></channel></rss>