Bounty: Industry meets Academia
How can we overcome the cultural differences between business and researchers to encourage innovation and collaboration?
Go to Challenge | 12 teams have entered this challenge.
Team Name:
Team 67
Team Members:
Project 67
Project Info
Team Name
Team 67
Team Members
1 member with an unpublished profile.
Project Description
Using machine learning skills to mine useful patterns related to litter management from open data source, which can help government and relevant department to take measures.
Data Story
Nowadays, the amount of litters increases very fast and severely damage the environment. But deal with litters cost a huge amount of money. Therefore, to come up with a solution to this problem is becoming much more important.
Team DataSets
litter-audit
Description of Use We use this dataset to find valuable patterns among all the attributes values provided based on some machine learning skills.
Challenge Entries
Sunshine Coast Commercialisation
How to make business boom on the Sunshine Coast?
Eligibility: Must use at least one Sunshine Coast region data set.
Go to Challenge | 11 teams have entered this challenge.
Litter Challenge
How might we prevent littering of fast food packaging?
Go to Challenge | 16 teams have entered this challenge.