Description
Discusses various modelling strategies and predictive tools related to football analytics
Introduces algorithms and computational tools to check the models, make predictions, and visualize the final results
Showcases some guided examples through the use of the footBayes R package available on CRAN
Walks the reader through the full pipeline: from data collection and preprocessing, through exploratory analysis and feature engineering, to advanced modelling techniques and evaluation
Bridges the gap between raw football data and actionable insights
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