– Bayes Rules! An Introduction to Bayesian Modeling with R
– A friendly introduction to machine learning compilers and optimizers
– A History of Polar Area / Coxcomb / Rose charts & how to make them in R’s ggplot2
– A Dataset of Cryptic Crossword Clues
– Survival Analysis: Part I: Basic concepts and first analyses, Part II: Multivariate data analysis – an introduction to concepts and methods, Part III: Multivariate data analysis – choosing a model and assessing its adequacy and fit, Part IV: Further concepts and methods in survival analysis
– Dataviz Accessibility Resources
– RegExplain
– A Succinct Intro to R
– Deep Learning’s Diminishing Returns
– Working with Google Sheets from R
– The Rise of the Pandemic Dashboard
– Predicting FT Trending Topics
– The Art of Linear Algebra: Graphic Notes on “Linear Algebra for Everyone”
– Modeling Possibly Nonlinear Confounders
– ggHoriPlot: build horizon plots in ggplot2
– Finding the Eras of MTV’s The Challenge Through Clustering
– Why data scientists shouldn’t need to know Kubernetes
– Creating a Dataset from an Image in R Markdown using reticulate
– Neural Networks from scratch
– plotDK: Plot Summary Statistics as Choropleth Maps of Danish Administrative Areas
– The Power of Parameterized Reports With Plumber
– Riding tables with {gt} and {gtExtras}
– How to explain gradient boosting
– How to visualize decision trees
– Speech and Language Processing
– Sexy up your logistic regression model with logit dotplots
– AI’s Islamophobia problem
– Possession Is The Puzzle Of Soccer Analytics. These Models Are Trying To Solve It.
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