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newyorkcity

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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

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

Airbnb-Listings-PowerBI-Dashboard is an interactive Power BI dashboard analyzing NYC Airbnb data from Kaggle. It provides insights into listing types, pricing trends, popular neighborhoods, and review patterns across NYC. Ideal for exploring market trends and identifying high-demand areas in NYC’s Airbnb landscape.

  • Updated Nov 15, 2024

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