You can also clone the project with a free RStudio Cloud account at. If you’ve wanted to learn the Shiny R interactive web framework - or if you’ve worked with it but wanted to up your game - Macalester College professor Danny Kaplan’s Shiny workshop GitHub repository features slides and project code. The workshop exercises and code are also available as on online book at. The GitHub repo at includes an intro, slides, and workbook directory with R Markdown documents. It also used the vroom, dtplyr, and DBI packages. This workshop, taught by RStudio engineer James Blair, focused on using dplyr with data.table, databases, and Spark for large-scale data. The GitHub repo at includes slides and R Markdown documents with code. Her slides are at (Day 1) and bit.ly/silge-rstudioconf-2 (Day 2). Julia Silge, co-author of Text Mining with R, led this workshop. This was taught by Brad Boehmke, director of data science at 84.51°. Deep learning with Keras and TensorFlow in RĬheck out the robust GitHub repo which includes a number of R Markdown notebooks with code and explanations as well as links to slides and data. Toward the top there are links to see parts 1 through 6 separately. This workshop has its own website where you can download slides, exercises, and solutions from Alison Hill’s sessions. Introduction to machine learning with the tidyverse There were two workshops on machine learning this year: an introduction to the still-evolving tidymodels machine learning package ecosystem and a more advanced session with Max Kuhn, creator of the well-known caret package. See information at the bottom of this page on how to download and install the workshop R package with exercises and solutions. Workshop leader Zev Ross said he posted both high-res slides for viewing and a PDF version for download.
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