...title) and corresponding coded fields (i.e. Standard Occupation Codes (SOC)) that were manually assigned by operators. This data was suitable for supervised machine learning and he developed Naive Bayes Classification...
...carefully about working with partners to support applicants and has begun building those working relationships. The service team demonstrated both the latest production and development versions of the service. The...
...with GOV.UK. We need to stay up to speed with the latest techniques and tools, as well as making time to share what we've learned. Sometimes that's through making contributions...
...latest Data Science Show and Tell (where 2 of these projects were featured). The Office for National Statistics (ONS) has an exploratory project to scrape prices from shopping websites to...
...making all of the source code open and reusable. Despite having identified some reusable components, the lack of a plan to open up any source code at all is disappointing....
...support to their users. Source Code The team weren’t able to talk the assessment panel through their plan for making all new source code open and reusable or, where necessary,...
...didn’t recognise. We’ve since implemented a new tracking code, which was easy to do using this tracking code generator from Google. To set up a code, you just need to...
...to make an analogy – is simply a computer in the cloud. You can use it to install code libraries, run your machine learning and store the results somewhere. Virtual...
...than taking an “Intro to R” course months before they ever get to use it. Paired programming, where two or more analysts code together with one “driving” and the other...
...allow the release of improvements to the service on a daily basis. making source code open and reusable, publishing, sharing and reusing it with other departments. The team provided convincing...
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