Samsung-Predictive-Data-Analysis
This is a project for the Coursera course "Data Analysis", taught by Jeff Leek from Johns Hopkins. This objective of this project is use data from a cellphone accelerometer to predict the type of motion being performed. The data provided for the project comes from the UCI Machine Learning repository: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
The R statistical software was used and both classification trees and random forest methods were utilized to develop the prediction model.