2023
What’s New in tidymodels
Overview of new and exciting things in tidymodels and slightly upcoming things.
Styling and Templating Quarto Documents
worried about styling taking too much time? In 20 minutes you won’t anymore!
Slidecraft - the art of creating pretty presentations
Making beautiful slides with quarto and revealjs
Flexible feature engineering using {recipes}
Delightful talk covering recipes from beginning to end.
Having a purrr-tastic time
This was a small talk about purrr in general and some of the new things that was included in the 1.0.0 release.
2022
tidyclust - expanding tidymodels to clustering
This talk marks the grand introduction of tidyclust, a new package that provides a tidy unified interface to clustering model within the tidymodels framework.
Improvements in text preprocessing using textrecipes
This talk gives a brief overview of the basic functionality of the textrecipes package and a look at exciting recent additions.
Machine learning with {tidymodels}
This workshop will provide a gentle introduction to machine learning with R using the modern suite of predictive modeling packages called tidymodels.
I Did Advent of Code and This is What I Learned
This talk will pull back the curtain on a collective journey of learning, doing Advent of Code using R.
2021
Work Smarter, Not Harder RStudio
This talk will take you around the myriad of customization and automation available to all RStudio users.
Creating and Styling PPTX Slides with {rmarkdown}
This talk shows how we can use the pptxtemplates package to automatically style powerpoints.
Text Preprocessing in R
This talk will focus on the {textrecipes} package and its recent advancements in the realm of text preprocessing.
Tidymodels - An Overview
This talk will walk through the landscape of packages and their individual place, helping you get a bird's eye view.
2020
Predictive modeling with text using tidy data principles
This tutorial is geared toward an R user with intermediate familiarity with R, RStudio, the basics of regression and classification modeling, and tidyverse packages such as dplyr and ggplot2.
palette2vec: A new way to explore color palettes
This talk shows what happens when we take one step further into explorability. Using handcrafted color features, dimensionality reduction, and interactive tools will we create and explore a color palette embedding.
Looking at stop words: why you shouldn’t blindly trust model defaults
This talk will focus on the importance of checking assumptions and defaults in the software you use.
themis: dealing with imbalanced data by using synthetic oversampling
A walkthrough of the heart of the synthetic oversampling algorithms will be given in code and visualization along with talk about performance.
Predictive modeling with text using tidy data principles
This tutorial is geared toward an R user with intermediate familiarity with R, RStudio, the basics of regression and classification modeling, and tidyverse packages such as dplyr and ggplot2.
2019
Building a package that fits into an evolving ecosystem
This talk tells the tale of the package textrecipes; starting with the Github issue that sparked the idea for the package, go over the trials and challenges associated with building a package that heavily integrates with other packages all the way to the release on CRAN.
Building R Packages
This seminar will go through the different use cases for a R package, dos and don’ts and best practices.
Debugging and Profiling in R
This seminar will cover strategies and techniques for performing debugging and code profiling in R.
Working with tidymodels
This talk will go through how to use tidymodels to do modeling in a tidy fashion.
2018
Best Practices in R
This presentation will let you though a lot of different aspects of what you can do in R to make yourself happy, make sure that future you is happy, and avoid getting mad at past you.
Text Analysis in R
I’ll talk you through a structured way to do exploratory data analysis(also called text mining) using tidytext to gain insight into the plain unstructured text.
Similarity Measure in the Space of Color Palettes
Talk about designing a similarity measure to look at color palettes.
No matching items