Colin Bradley (7cb15)

7cb15

Geek Repo

Company:Tomo Networks

Location:Seattle

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Colin Bradley's repositories

Predicting-Crime-in-Toronto

Multi-class classification model for predicting the types of crimes in Toronto

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mesa

Mesa is an agent-based modeling framework in Python

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trajectory_clustering

Trajectory clustering of fishing vessels

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Crime-and-SAT-Scores

Using random forest regression to model SAT scores and school crime

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Mobility-in-US-Cities

Exploring mobility patterns in US cities

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Traffic-Congestion-Sensing

Measuring traffic congestion and noise pollution with computer vision and noise sensors

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Machine-Learning-in-Cities

Implementation of various machine learning models applied to urban data

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Big-Data-Scripts

scripts for a mix of data processing tasks using various big data tools

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CUSP-GX-6004-C

Advanced Urban Informatics module on IoT and Microservices

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snowbot

Providing automated, real time estimates of snow water equivalent in the Sierras and beyond

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Satellite-Image-Classification

Using deep learning techniques to classify land use patterns from satellite image data

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Scala-Practice

Tooling around in Scala

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7cb15.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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Powerline-Fault-Detection

Using LSTM and CNN to detect faults in power grids

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Applied-Data-Science

Repository for storing homework problems and illustrative examples from MS Applied Urban Science course work

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forest_cover

Using Random Forest and XGBoost to classify tree cover

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anomaly-detection

Project to detect anomalies in urban mobility patterns using autoencoders

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Electrical-Usage-Modeling

Auto-regression analysis to model long-term electrical usage patterns

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Neighborhood-Movement

Modeling population movements within neighborhoods in Brooklyn using a Markov process

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Identifying-Nightlife-Hubs-in-NYC

Spatial autocorrelation analysis to identify hotspots for nightlife activity using various datasets

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NYC-Subway-Network

Using NetworkX to analyze the NYC MTA

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Airport-Networks

Using NetworkX to visualize airport connections

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Measuring-Offensive-Line-Importance-in-Fantasy-Football

Running some simple linear regressions to determine the importance of the O-line in QB and RB fantasy performance

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NYC-Bus-API-Scripts

Python scripts to query the the NYC bus API

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Modeling-Toronto-Bikeshare-Network

Modeling Toronto's Bike Share Network using NetworkX

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Visualizing-Toronto-Crime

Using Folium and Geopandas to visualize crime data in Toronto

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