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newyorkcity

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Using 1.8 million rows of traffic collision data from NYC's Open Data initiative, we ran thousands of classification models to discover which variables made collisions lethal for cyclists. The data was cleaned using Pandas, then Scikit-learn was used to instantiate and gridsearch Decision Tree, Random Forest, Logistic Regression, and K Nearest N…

  • Updated Oct 29, 2021
  • Jupyter Notebook

An analysis of Farmer's Markets and food subsistence programs (such as SNAP) in New York State and which payment methods are accepted. The goal is to discover how accessible Farmer's Markets are to the poorest in NYS communities.

  • Updated Jun 14, 2021
  • Jupyter Notebook

Framework for 48000+ hosts & 800,000 annual visitors in New York City to generate customized and computationally efficient - lists of Airbnbs given combinations of parameters of budget, number of days of stay, availability probability of the listing and the number of reviews.

  • Updated May 8, 2020
  • Jupyter Notebook

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