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A simple, performant and scalable Jax LLM!
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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.
Brain Tumor Classification using PCA and CNN
This is my attempt at the "Hello World" data for neural nets: MNIST Handwritten digits classification
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
My personal portfolio website
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