Exeter Data Science and Locke Data are holding this paid-for workshop to give people the opportunity to learn about using logistic regressions in practice.

Logistic regressions are great for classification or for determining the probability of an outcome. It's important to understand how to process data, what different forms of logistic regression are available to you, and how to evaluate them to use them effectively.

This workshop will take you through building a logistic regression model from end-to-end. Starting from data ingestion to a fully documented model, we'll be covering:

• The fundamentals of logistic regressions
• Data preparation techniques
• Sampling techniques
• Model generation
• Model validation

All of this will be done within R. It is intended for people who would like to get more comfortable building models in R and who want to understand more about logistic regressions.

This is a hands-on workshop with an emphasis on the practical implementation of techniques so you should have used R before. You will need to bring a laptop with the latest versions of R and RStudio installed.

After costs are covered, all funds go to the Exeter Data Science user group.