PyData London - 107th Meetup

Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD
Please note:
1. 🚨🚨🚨 A valid photo ID is required by building security. 🚨🚨🚨
2. This event follows the NumFOCUS Code of Conduct. Please familiarise yourself with it before attending.

If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in.
If you can no longer make it, please unRSVP as soon as possible.

Code of Conduct:
This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns.

As always, there will be free food and drinks, generously provided by our host, Man Group.

Main Talks

1. Robin Linacre - Rapid deduplication and fuzzy matching of large datasets using Splink
   This talk introduces Splink, a free and open source Python library for probabilistic record linkage and deduplication at scale.
   I’ll explain the core ideas behind the approach, show how it can be used in practice, and reflect on the opportunities of building open source tools from within the public sector.
   Data deduplication is a common data quality challenge: it arises whenever multiple records are collected about the same person, organisation, or entity without a shared unique identifier.
   This talk will introduce the core ideas behind probabilistic record linkage and show how Splink, a free and open source Python library developed at the UK Ministry of Justice, can be used to link and deduplicate large datasets quickly and accurately.
   I’ll cover the practical steps involved in training linkage models, using unsupervised learning, improving performance and accuracy, and visualising results and diagnostics. I’ll also touch on what it has been like to build and maintain open source tooling from within the UK public sector, and the opportunities this creates for solving problems at citizen scale.
   The talk is aimed a