This repo contains an R Markdown report, Project.rmd, which generates a supervised machine learning model to predict when barbell lifts are performed incorrectly in 5 different ways, from Qualitative Activity Recognition of Weight Lifting Exercises dataset [1]. The compiled HTML output of the report available, as Project.html.
#Data#
The training data for this project are available here:
https://d396qusza40orc.cloudfront.net/predmachlearn/pml-training.csv
The test data are available here:
https://d396qusza40orc.cloudfront.net/predmachlearn/pml-testing.csv
The report assumes pml-training.csv and pml-testing.csv are present in the working directory.
[1] Velloso, E.; Bulling, A.; Gellersen, H.; Ugulino, W.; Fuks, H. Qualitative Activity Recognition of Weight Lifting Exercises. Proceedings of 4th International Conference in Cooperation with SIGCHI (Augmented Human '13) . Stuttgart, Germany: ACM SIGCHI, 2013