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Part II in the network exploration of the Game of Thrones series. In this post, we combine the plots together and use gganimate to visualise relationships across all 5 books

A network exploration on the links between characters in the Game of Thrones series with the help of igraph and tidygraph

Chains, Forks, Colliders, paths and d-seperation - how DAGs can contribute to better causal inference

Extending Pyspark's MLlib native feature selection function by using a feature importance score generated from a machine learning model and extracting the variables that are plausibly the most important