Data Science Accelerator Programme - project update
...models to predict the occupation codes for the injuries. In the current reporting process the free text is still collected but, due to resource constraints, the coded SOC information is...
...models to predict the occupation codes for the injuries. In the current reporting process the free text is still collected but, due to resource constraints, the coded SOC information is...
...it easier to read. the way that entry errors are shown to users, to make it straightforward to complete the forms correctly More detailed suggestions are provided in the design...
...to collection, management, and interpretation of text data rather than purely focusing on the NLP methods. At the end of 2023, the Subcommunity agreed to change names again to include...
...two week sprint period. Technology The service team aim to release every sprint. The process is complicated by the infrastructure of the tax platform, meaning that getting code into production...
...assurance and reproducibility of their code. This living document covers topics such version control, peer-review and data management. If you have any feedback you can get in touch via github...
...Registry is a non-ministerial department, but is under the umbrella of the Department for Business, Innovation and Skills (BIS). I take a keen interest in how other organisations (in and...
The Business Properties Rental Information service allows users to submit information about a business property to the Valuation Office Authority (VOA); something that users are required to do under statutory...
...government service performance data. The platform provides direct integration into several online analytics tools, including Google Analytics. Data is collected into a database via the API using Python and JSON....
...speed up our approach we wrote code as a software package on Github that enabled us to run the analysis instantly upon experiment completion. This initial early investment into automation...
...adaptable to changes. We had about 100,000 untagged pages to tag and we aimed to tag them with around 210 sub-branches. How the work went To choose a supervised learning...