#
ranger
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This repo contains material for a workshop on Random Forests in phonetics/phonology research
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Feb 8, 2023 - HTML
This study investigates the quality of exercise using the machine learning algorithms and classifies into varying degrees of effectiveness compared to standard practices. The exercise analyzed is dumbbell pull-ups.
data-science machine-learning random-forest coursera prediction datascience ranger xgboost caret predictive-modeling predictive-analytics coursera-machine-learning r-programming rprogramming datasciencecoursera coursera-practical-machine-learning dataexploration datascience-machinelearning mechinelearning
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May 12, 2021 - HTML
This study aims to identify the highest-contributing attributes of an Association of Tennis Professionals (ATP) winner’s performance for the years 2000 to 2022. The study is aimed at tennis fans and sports betting enthusiasts looking to gain an understanding of a player’s performance from a list of hundreds of ATP-registered players.
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Dec 20, 2022 - HTML
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