Code associated with mapping green roofs in NYC and summarizing the data
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Updated
Nov 20, 2018 - JavaScript
Code associated with mapping green roofs in NYC and summarizing the data
[Advanced] - [Python] - Build processing data pipeline using 100 % open sources. The idea for this project comes from one sentence "Turn Your Laptop Into A Personal Analytics Engine"
Data Analysis Dash Board for Airbnb Prices and popularity in New York City with Tableau
In this project, various regression algorithms, k means clustering was used. Screenshots are attached in the readme file.
Analysis of Emergency Deparment Visits and Admissions for Influenza-like Illness and/or Pneumonia in New York City
Android app for viewing street cameras around NYC
This repository contains all datasets and files used in analyzing age groups that are more accident risk prone. It also looks into the effect of seasonality on traffic accidents. Courtesy of Coastal Analytics.
New York Real Estate Valuation and Visualization
200 Water St, NY, NY
Port of busintime for mobile devices written in React Native.
Tableau data analysis and visualization project using a CitiBike New York City 2020 dataset.
Code for a twitter bot that invents fake NYC Subway Stations
This interactive dashboard showcases the filming locations of popular television shows set in New York City.
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.
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.
Conditions at Rikers Island worsen as construction of the borough based jails begins.
Final Paper for NYU Data Bootcamp Fall 2018 Course
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…
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