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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 56 111

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

    Python 3.9k 538

  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

    JavaScript

  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 2 2

736 contributions in the last year

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Contribution activity

December 2022

25 contributions in private repositories Dec 2 – Dec 21

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