List of real-world examples of data analyses and visualization, provided with codes, datasets and the workshops recordings

This book empowers readers to weave Bayesian approaches into an everyday modern practice of statistics and data science

This book focuses on supervised or predictive modeling for text, using text data to make predictions about the world around us

Data Analysis and Prediction Algorithms with R

Online version of the book published to Chapman & Hall/CRC (later in 2021)

Code & Context for Data Science in Government

From wrangling and exploring data to inference and predictive modelling

L’objectif de cette formation est de vous faire découvrir la modélisation statistique bayésienne.

This is the online version of the 2nd edition of [Modern Data Science with R](https://www.routledge.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9780367191498)

This blog post is based on [this report](http://cbpuschmann.net/quanteda_mzes/) and on [Cornelius’ post on topic models in R](http://inhaltsanalyse-mit-r.de/themenmodelle.html)