The Four Musketeers

Project Info

Project Description


Unleash the power of machine learning to predict the causal factors of noncompliance.
The team delivered learning Algorithm model to predict the risk of noncompliance on case by case basis.


Data Story


Our team built a complete machine learning model that harness large volume of government datasets from various organisations including: Australian Taxation Office, Australian Bureau of Statistics and Australian Government Financial Security Authority-non-compliance in personal insolvency data.


Evidence of Work

Video

Homepage

Team DataSets

health-welfare-services/homelessness-services for GovHack 2018.

Description of Use: dataset to integrate with other related datasets for visualisation and modelling purposes

Data Set

non-compliance-personal-insolvencies

Description of Use: main datasets to compare with others datasets

Data Set

Challenges

SEED - Open Data with a Purpose

Region: New South Wales

Challenge

Bounty: Tax Help Centers

Region: Australia

Challenge

The Friendly ATO

Region: Australia

Challenge

Data4Good

Region: New South Wales

Challenge

Bounty: Integrating AIHW

Region: Australia

Challenge

Bounty: Is seeing truely believing?

Region: Australia

Challenge

To bankruptcy or not to bankruptcy, keeping the process real.

Region: Australia

Challenge
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