Supervised Learning: Exercise Classification

caret ML

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

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:

You can also find its Github repo.


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