Final Project for the JHU Data Science Machine Learning MOOC.
This project analyzes 159 different predictor variables in order to project one of 5 categories of a bicep curl.
The dataset can be found here: https://d396qusza40orc.cloudfront.net/predmachlearn/pml-training.csv
This respository's R markdown and html files contains an outline and code of the analysis I performed. This analysis includes, data partition into testing and training variables, visual analysis, several pre-processing steps (k-nearest neighbors, near-zero variance, and PCA), model creation and application to a test set.