#
ranger
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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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Updated
May 12, 2021 - HTML
This repo contains material for a workshop on Random Forests in phonetics/phonology research
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Feb 8, 2023 - 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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Updated
Dec 20, 2022 - HTML
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