pml- this is an exercise based on practical machine course on Coursera by John Hopkins university https://www.coursera.org/course/predmachlearn
The dataset used in this exercise is taken from WLE Dataset: 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
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
Objective:
- Build a machine learning algorithm to predict activity quality from activity monitors
- the out of sample error to be and estimate the error appropriately with cross-validation?