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xspliner is an R package that helps explain black box ML models. In this presentation, you will learn what PDP curves and GLMs are and how you can calculate them based on black box models. I'll then show you a specific use-case for xspliner.
Dynamic Shiny Modules can destabilize the Shiny environment and cause its reactive graph to be rendered multiple times. Here is how to safely remove deleted module leftovers and make sure that your Shiny graph observers are rendered properly.
I used a Kaggle database to show how to separate customers into groups based on their purchase behavior. You can customize your interactions with customers to increase loyalty. For R enthusiasts -- I used ggradar, ggplot2, animation, and factoextra
Add routing to your R Shiny applications with shiny router - A new R package by Appsilon. Here's a quick getting started guide.
Update of the shiny.semantic package. Check out new features in v 0.2.0 CRAN release.
We will show how to perform multivariate random sampling using one of the Markov Chain Monte Carlo (MCMC) algorithms, called the Gibbs sampler.
