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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

Custom cross-validation class written in PySpark with support for user-defined category such as by time, geographical or consumer segments.