-
Notifications
You must be signed in to change notification settings - Fork 0
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.
msn4695/Classification-of-Exercise-Quality-based-on-Machine-Learning-Model
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
About
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.
Topics
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
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published