# Coursera / Johns Hopkins Practical Machine Learning - Week 4 Assignment Write-up

## Summary
This repo (and its gh-pages branch) includes the R script and output for the final
assignment in the Coursera / JHU Practical Machine Learning course.

The master branch includes the R script and output files from the script.

The gh-pages branch includes the compiled HTML.

## Note to Coursera Peer Graders
You may visit [this page](https://bwhicks.github.io/MachineLearningAssignment/) for my
write-up and figures. If for some reason this link does not work, please clone
and check-out the gh-pages branch for local viewing.

## Citations
Course dataset derived from

Velloso, E.; Bulling, A.; Gellersen, H.; Ugulino, W.; Fuks, H. [Qualitative Activity Recognition of Weight Lifting Exercises.](http://groupware.les.inf.puc-rio.br/work.jsf?p1=11201) Proceedings of 4th International Conference in Cooperation with SIGCHI (Augmented Human '13) . Stuttgart, Germany: ACM SIGCHI, 2013.

Available online at [http://groupware.les.inf.puc-rio.br/har](http://groupware.les.inf.puc-rio.br/har).

# Coursera / Johns Hopkins Practical Machine Learning - Week 4 Assignment Write-up

## Summary
This repo (and its gh-pages branch) includes the R script and output for the final
assignment in the Coursera / JHU Practical Machine Learning course.

The master branch includes the R script and output files from the script.

The gh-pages branch includes the compiled HTML.

## [Link]( https://bwhicks.github.io/MachineLearningAssignment/) for Coursera Peer Graders
You may visit [this page](https://bwhicks.github.io/MachineLearningAssignment/) for my
write-up and figures. If for some reason this link does not work, please clone
and check-out the gh-pages branch for local viewing.

## Citations
Course dataset derived from

Velloso, E.; Bulling, A.; Gellersen, H.; Ugulino, W.; Fuks, H. [Qualitative Activity Recognition of Weight Lifting Exercises.](http://groupware.les.inf.puc-rio.br/work.jsf?p1=11201) Proceedings of 4th International Conference in Cooperation with SIGCHI (Augmented Human '13) . Stuttgart, Germany: ACM SIGCHI, 2013.

Available online at [http://groupware.les.inf.puc-rio.br/har](http://groupware.les.inf.puc-rio.br/har).

Make gh-pages link more prominent
Make gh-pages link more prominent
