Cincome / Practical-Machine-Learning

Repo for Practical Machine Learning class in the Johns Hopkins Data Science Specialization on Coursera

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PracticalMachineLearning

In this project, we were tasked with building a model that would predict what form of exercise was done by a participant using only measurements taken at the time of the exercise.

Participants were asked to preform a bicep curl 5 different ways; one using the correct for and another four while making common mistakes in form. Readings were taken at the arm, forearm, belt, and dumbbell while the exercises were being preformed. The Weight Lifting Exercises Dataset used in this project can be found here: http://groupware.les.inf.puc-rio.br/har#dataset.

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Repo for Practical Machine Learning class in the Johns Hopkins Data Science Specialization on Coursera


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