I just turned in Assignment 2 for my Data Analysis Course so I can now share it on here (Unfortunately, I’ve been warned that people have been plagiarizing so I’ve removed my files to prevent cheating… which ironically I did not list as a challenge for a MOOC below, but should be added). In this assignment, we were given sensor data from the Samsung Galaxy SII recorded while users performed specific activities. The goal was to develop a model on some training data to predict what activity the test subjects are performing. As usual, I wish I had more time to spend on it because I always feel like there is more I can add. Using random forests, I got a misclassification error rate of about 5% on the test subjects. Not too shabby, but at some point I would like to compare it to other models such as SVMs or Neural networks. Continue reading →