PyDataMCR Is back!

PyDataMCR is back!
Welcome back all, it's been a while. We are excited to offer our first hybrid event, Hosted by Infinity Works (part of Accenture).

THE TALKS

Topics, Classification and Reviews - Shaun Hide - @ShaunHide1
With increasing noise around fake reviews and review skews showing little variance this talk looks at NLP methods to derive topics and classification to help consumers better differentiate.

Bindicator! - Fiona Pye - @PyeFiona
Raspberry Pi + Python notifications project which checks the council website to see if it is bin day tomorrow to ensure you don’t miss a collection! Uses webscraping, a set of lights, push notifications and scheduling to make a handy little device.

Fiona is a Decision Scientist at N Brown who loves exploring and playing with data and dabbling with tech!

IN-PERSON
Come check out the new infinity works office. Catering is sponsored by Infinity works. Due to COVID restrictions we can only have 70 people in office, so tickets are limited.

REMOTE
If it's more comfortable or convenient, we are also streaming the talk live to YouTube. You DO NOT need a ticket if you want to attend remotely. The livestream, and recording will be hosted here - https://youtu.be/w_GQgSqLbxc

EVENT GUIDELINES
PyDataMCR is a strictly professional event, as such professional behaviour is expected.

PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct

https://pydata.org/code-of-conduct.html

Please take a moment to familiarise yourself with its contents.

ACCESSIBILITY
Under 16s welcome with a responsible guardian. There is a quiet room available if needed. Toilets are accessible, so I am hoping the venue is too but looking for more details!

SPONSORS
Thank you to NUMFocus for sponsoring Meetup and further support
Thank you to Infinity Works for an awesome, hybrid-ready venue and catering!