GitHub / dgluesen / relevance-nfl-statistics

Nowadays, sports events live above all from their media coverage, which includes cheering up winners and writing down losers. Statitstics are used to underpin the own argumentation in this reports. But is there any cherry picking here? Are only those statistics used that make the report/commentary look completely logical? In order to give an initial assessment of the relevance of typically used statistics of NFL games, a simple but easily understandable machine learning approach is presented. This reveal statistics which might be used as a solid basis for argumentation.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dgluesen%2Frelevance-nfl-statistics

Topics: data-science, decision-tree, decision-trees, feature-importance, feature-selection, machine-learning, media-coverage, nfl, nflstats, scikit-learn, sports-stats, sportsanalytics

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