Assignment for the Practical Machine Learning course on Coursera
This repository contains a R script produced for the course project of the Practical Machine Learning course of the Data Science Specialization hosted by Coursera:
https://www.coursera.org/course/predmachlearn
The aim of the analysis was to develop an algorithm to classify dumb bell lifts into 5 groups using data from accelerometers.
The training data for this project are available here: https://d396qusza40orc.cloudfront.net/predmachlearn/pml-training.csv and the test data here: https://d396qusza40orc.cloudfront.net/predmachlearn/pml-testing.csv
My report is available here: http://bugbunny.github.io/Machine_Learning/PredictionAssignment.html
Further information is provided at http://groupware.les.inf.puc-rio.br/har
The script was written using R 3.2.1 under Windows 7 SP1.