Blogposts

Project news and info

 

Project conclusion

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This project concluded in December 2023, but all the code is available on GitHub, and the API will continue to be hosted by The Strategy Unit throughout 2024 at least.
Jan 9, 2024
YiWen Hon

Ensembling models

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We found that there are three different model architectures / algorithms that produced a reasonable performance for predicting the themes: XGBoost, Distilbert, and Support…
Oct 13, 2023
YiWen Hon

Productionising an LLM with limited hardware resources

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For this project, we tried several different machine learning algorithms. The best performing algorithms were the Support Vector Classifier, Gradient Boosted Decision Trees…
Oct 12, 2023
YiWen Hon

Using an upset plot to explore the relationship between large categorical data

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An upset plot is a great visualisation tool that can be used to show and understand the relationships and associations between large categories (called sets) in data. It…
Jul 18, 2023
Oluwasegun Apejoye

Experience Dashboard at Version 0.7.0: A data exploration tool

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dashboard
Our first update on the dashboard was based on version 0.6 of the dashboard. And we noted then that we would be rolling out some features into the dashboard. We are glad to…
Jul 18, 2023
Oluwasegun Apejoye

pxtextmining API: enabling access to project outputs

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Our latest major project milestone is the release of a model API. This blog post will explain what this is, how we have achieved it, and what our next steps are.
May 31, 2023
YiWen Hon

Machine learning update

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We’ve had a chance to play around with a few different model architectures now and the main finding is that so far, as in Phase 1 and other similar projects, Support Vector…
Mar 13, 2023
YiWen Hon
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