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Dublin Data Science; Soup to Nuts

Time13:09:31 Phone
DateMonday, August 16, 2021 Web
VenueOnline Email

Dublin Data Science


Dublin Data Science Meetup

The Dublin Data Science meetup is for all who are interested in data science and applied statistics.

We'll cover:

- Statistics

- Machine Learning

- Analytics

Major languages used include SQL, R & Python, but we're always open to new tools.


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Dublin Data Science; Soup to Nuts

We are starting off 2021 with something different: I am going to do a series of workshops on the process of working on a data project, specifically a dataset related to retail transactions. Over a series of workshops we will complete a data science project from start to finish, focusing on data exploration, modelling and communication.


All code for my workshops and talks can be found in this GitHub repo:


This workshop is contained in the ws_soupnuts_202101/ folder


This series of workshops is done live, with code being commited and pushed to dedicated GitHub repository that can be found here:


Previous workshops are available on the Dublin Data Science YouTube page at:


In the fifth workshop, we focus on the concepts behind "Buy-Till-You-Die" models, and discuss both the Pareto/Negative Binomial Model and the Beta-Geometric Negative Binomial model. We discuss the basic theory and how these models are fit based on our transaction level data.


Finally, we will discuss how we might use these models for prediction.


No knowledge of any of these techniques is assumed - part of the job is often trying to learn some existing topic as it is applied to the problem at hand.


As before, this workshop will be recorded and made available online afterwards, and I will use Zoom as our platform of choice.




Information & Registration

DATE & TIME: 23rd August 2021 / 19:00

VENUE: Online


Book Your Ticket or Find Out More About this Event publishes details of this event for information only which are correct at the time of publication. accepts no responsibility for cancellation, inaccuracies, amendments and / or loss for whatever reason.


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