Code.Sydney's Individual Portfolios
This platform enables community members to showcase their work and share it with a broader audience, supporting their portfolio development and growth.
CSIRO Sentinel-1 SAR image dataset of oil- and non-oil features for machine learning ( Deep Learning )
Danielle Meer has built a proof-of-concept AI model that utilises various satellite images of bodies of water from Southeast Asia and Australia as captured by the Sentinel-1 Synthetic Aperture Radar (SAR). The AI model then classifies these images to detect possible oil spill locations with an accuracy of 91%.
Open Data API Standardisation | Socio-Economic Indexes
This is part of a series aimed at standardising APIs for accessing location-related open datasets in the City of Sydney.
MongoDB Data Extraction and Web Scraping
Shoutout to Girard Tabañag and 'The Crow' for showcasing their recent accomplishments while progressing through the Python for Everybody course. They've successfully developed handy tools for web scraping, extracting documents from MongoDB, and seamlessly exporting them to spreadsheets. Keep up the great work and stay curious.
Open Data API Standardisation | Sydney Schools
This is part of a series aimed at standardising APIs for accessing location-related open datasets in the City of Sydney.
Open Data API Standardisation | Sydney Hospitals
This is part of a series aimed at standardising APIs for accessing location-related open datasets in the City of Sydney.
Open Data API Standardisation | Sydney Venues for Hire
This is part of a series aimed at standardising APIs for accessing location-related open datasets in the City of Sydney.
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