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  1. Bringing open data to affordable housing decision makers in Washington DC. A D3/Javascript based website to visualize data related to affordable housing in Washington DC. Data processing with Python.

    Python 55 113

  2. Visual analysis and diagnostic tools to facilitate machine learning model selection.

    Python 3.3k 492

  3. A charting library created to provide a consistent structure for reusable D3 visualizations. Read about it on this blog post:

    JavaScript 1

  4. My personal website


  5. Georgetown Data Science DC Low Income Housing “Risk Of Loss” Group Project. Python-based machine learning project looking at Section 8 housing. The goal of the project was to use 13 years of histor…

    HTML 1 2

1,278 contributions in the last year

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Contribution activity

June 2021

28 contributions in private repositories Jun 1 – Jun 10

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