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Certificate of Completion

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THIS ACKNOWLEDGES THAT

HAS COMPLETED THE FALL 2025 DATA SCIENCE BOOT CAMP

ELIZABETH RIZOR

Roman Holowinsky, PhD

NOVEMBER 13, 2025

DIRECTOR

DATE

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TEAM

Harmonic Features for Song Recommendations

Juan Salinas, Iliyana Dobreva, ELIZABETH RIZOR, Matthew Dykes, Joshua Ruiter

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Music has long been a key form of human expression, reflecting cultural trends and identities. By breaking songs into measurable harmonic patterns, we can uncover how harmony shapes the sound of popular music. This project explores whether harmonic “fingerprints” based on chord sequences can predict a song’s genre, decade, or whether it has ever reached the Billboard Hot 100. Such insights can help musicians, researchers, and streaming platforms better understand and recommend music based on its underlying harmonic structure.

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