AI bootcamp 2019 materials.
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Updated
Dec 16, 2019 - HTML
AI bootcamp 2019 materials.
Python web application for exploring and forecasting crime rates in NYC
Open Source GIS Data is a website where people can find open source GIS data and resources for interacting with that data.
🌍🔍 Explore and analyze earthquake data worldwide using this interactive data science project. Visualize earthquake occurrences, patterns, and geographical distribution. Dive deep into seismic data, perform exploratory data analysis, and gain insights into earthquake trends.
Leveraging geospatial and population data, this project analyzes healthcare accessibility across major locations in all states of India.
Going Beyond EDA: A Deeper Analysis of NYC 311 Street Flooding Complaints
Mapping production curves with unsupervised classification of time series curves
A GPS app built with Angular.js and integrated with the Google Maps API.
This project conducts a thorough market analysis of Airbnb listings, encompassing various aspects such as market trends, property types, pricing, occupancy rates, host distribution, and regulatory impacts.
locationallocation: an R package to solve Maximal Coverage Location-Allocation problems using geospatial data
Risk analysis and seasonal modeling of lead service lines in Chicago using Python & GIS.
Great Whale's migration routes in North Atlantic Ocean
Atmos Viz is a Python-based project designed to analyze, visualize, and predict global temperature trends across various cities and countries using time-series analysis and advanced data science techniques. Leveraging historical climate data, this project integrates machine learning models, geospatial mapping, and interactive visualizations to unco
Linguistic Innovation Location-Inference
Geospatial Analytics and Applications course involving visualisation, data manipulation & transformation, spatial statistics and machine learning.
Spatial data Analysis repo utilized database and cloud computing
Research project for Conflict Urbanism: Puerto Rico Now, a seminar through Columbia University's Center for Spatial Research in Spring 2019.
Vietnam Wind Resource Assessment
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