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Founder & President of UMass Amherst Data Science Club
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Past projects: Machine learning algorithm to predict song popularity
-Predicting financial damages caused by natural catastrophes
-Visualization of shifting global terrorism trends since 1970
-Modeling correlation between cancerous nuclei and variability of colors in biopsied tissue
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I’m looking for help with beating the EV Cannonball Run challenge record
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Contact me 978-460-7788 or geelluke@gmail.com
Stats, Data Science, Economics
senior at UMass Amherst interested in artificial intelligence and quantitative trading
- Massachusetts
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06:50
(UTC -05:00)
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catastrophe-modeling
catastrophe-modeling PublicCatastrophe modeling project, presented to Professor Havens (Math department) at UMass Amherst 2022
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ULabel-ML-song-popularity-algorithm
ULabel-ML-song-popularity-algorithm PublicForked from Rishik-J/ULabel
This project was created during HackHarvard October 2022. It uses neural networks to predict the popularity of a song just by listening to it
Jupyter Notebook
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