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Michelle Yoo's Projects

datafest icon datafest

I participated in DataFest, a data hackathon sponsored by many great organizatinos including ASA and Google. After 48 hours of intense work, my team received "Honorable Mention" award. I am posting here our 2-page presentation slides, and the jupyter notebooks that I used to analyze the data. For more description: https://uwaterloo.ca/statistics-and-actuarial-science/events/asa-datafest-2017

maxtext icon maxtext

A simple, performant and scalable Jax LLM!

mnist icon mnist

This is my attempt at the "Hello World" data for neural nets: MNIST Handwritten digits classification

newspaper icon newspaper

Through this project I will be building a newspaper classifier for five categories: business, entertainment, politics, sports and tech. To do this, I will be taking different methods including 1) bag of words approach using TF-IDF, 2) neural network (CNN and/or LSTM) and 3) neural network using 1) and document summary as features. In the end, I will evaluate the different methods using test data. My hypothesis is that method 3) will bring the best result.

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