Supervised Learning: Exercise Classification

Exploring the effectiveness of different ML models to classify motion data into exercise categories

caret
ML
Published

December 17, 2017

The final project for the Practical Machine Learning course of the Data Science Specialization on Coursera from Johns Hopkins University is to use supervised learning techniques to classify repetitions of physical exercises based on the manner in which the motion was completed using accelerometer, gyroscope and magnetometer data.

Find my attempt at the link below:

https://rpubs.com/seanangio/exercises_classification

Correlation matrix

You can also find its Github repo.