Phonocardiographs are used to capture high resolution recordings of heart sounds. This lightning talk will discuss how we can use time series analysis can uncover hidden structures in the recordings, and use this information to detect and classify heart murmurs.

This talk will give a brief overview of the {tidymodels} framework for machine learning, discuss the extraction of time series features, demonstrate the process of fitting machine learning models in R to heart sound recordings, and consider different approaches to model evaluation.

Creating a data science portfolio can help you to develop your skills, and well as showcase them to the wider world. In this talk, we’ll discuss how to build a portfolio with #TidyTuesday.

In this talk, I’ll show you how to make a your own custom colour scale functions to add your own colours to {ggplot2} graphics - no more copying and pasting scale_colour_manual()!

In this talk I’ll show you how to collect data from Twitter using {rtweet}, schedule that data collection with GitHub Actions, and automatically deploy a Shiny app to display the data in a table.

The Shiny Developer Series will be recording live at #ShinyConf2023! We’ll be discussing recent innovations in Shiny and more.