The website for Arcology Builders, a project for a, a sustainable community home in Detroit.

This project was developed by Neil Deshmukh to teach attendees how to develop an image recognition Convolutional Neural Network and complimentary app, at the 'Using Machine Learning to Build an Image Classification App' workshop at FIRST Detroit on April 26th at 1:30 - 3:30 pm.

An Agent-based model which explores urban shrinkage

The Rental Map display all the current register rental properties in the city as well as the parcel data for all the properties in the city of Detroit.

How to predict whether blight fines in Detroit will be paid in time?

Simplifying ASP.NET Core unit testing and Test-Driven Development with an intuitive builder pattern, classical/Detroit approach, and high extensibility for effortless creation and customization of System Under Test instances.

The objective of this analysis is to better understand the characteristics of Detroit Schools with elevated lead levels as identified via testing in 2016 by aggregating three publicly available data sources from the city of Detroit.

Data At Scale: Capstone Project - Final report Predicting relation between crime and blight

This report uses publicly available data including from the City of Detroit’s ‘Detroit’s Open Data Portal’ as well as ‘Data Driven Detroit’ to predict Detroit Police Department response time to emergency response calls placed from various areas of the city.

A d3 visualization of the changing populations of the largest cities in the US

Find the safest, fastest way to home in Detroit

Help end blight in Detroit. Kaggle Machine Learning Project.

A website for the Southeast Michigan Riichi Mahjong club.