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  1. A collection of applications and components that make doing data science easier.

    JavaScript 4

  2. Analyzing NBA movement data using factor analysis, pca, and MANOVA

    Jupyter Notebook

  3. A historical map viewer for some old maps of New Haven that superimposes the maps over satellite imagery that I built while taking "Urbanism and Architecture in America" my senior year of college.

    HTML 2

  4. A repository containing work for my senior thesis on identifying similar equations.

    Jupyter Notebook

  5. Forked from github/personal-website

    Home page for my projects

    HTML

21 contributions in the last year

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Contribution activity

January - February 2020

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