For 2022, we are starting a series of workshops to introduce the concept of Bayesian statistics using a practical real-world problem: building customer analytics models to help predict customer behaviour.
All code for my workshops and talks can be found in this GitHub repo:
This workshop is contained in the ws_clvbayes_202201/ folder
This series of workshops is done live, with code being commited and pushed to the above GitHub repository as well as the Dockerfile infrastructure to build the container to run the code.
Bayesian statistics is an approach that enables the combination of domain knowledge, data and statistical modelling in a principled and logical way. The primary outputs of these models are distributions of the model parameters that allows us to quantify the uncertainty in our models.
In this first workshop we introduce some basic terms and concepts of Bayesian statistics as well as framing the problem we are trying to solve. We will also perform some data exploration of our dataset and establish the parameters for the project.
We strive to make our workshops as standalone as possible, so new attendees are always welcome!
This workshop will be broadcast using Zoom and will be recorded and made available online via our YouTube channel.