We trained random forest and neural network classification models to do predictive modelling on cases of insolvency non-compliance. From these models were also able to extract useful indicators for potential non-compliance. We then combined the AFSA insolvency data set with 7 other datasets to ex...
Go to Project | Altis Canberra
<p>Thick black smoke chokes the city, as fire moves in from the West. Emergency vehicles race to the fire front, as residents, schools and businesses prepare to evacuate. As embers begin to fall on the outer suburbs, everyone's next decisions are crucial.</p> <p>Situational awareness is paramo...
Go to Project | Null VRiables
Trendhound lets users search a keyword of interest across Twitter, Google News and public datasets. The dashboard displays relevant tweets across the country and relevant news articles. It highlights facts at the states and territory level from relevant datasets. It allows users to quickly ...
Go to Project | DIISplay
GovHack 2018 · Intro and overview o A high performing cross functional taskforce including members from Accenture, sass, and Cloudera has been assembled to aid the government in better understanding the problem of insolvency in Australia. Insolvency costs the Australian economy in e...
Go to Project | First Timers
Please view our Github page for a comprehensive project profile: https://github.com/ma-al/gh18-p77 - The Age-Friendly Planning Tool maps government data on population projections for the Canberra region and assists users in identifying areas requiring increased support and development, now ...
Go to Project | Project 77