{"ref":"gh-pages","ref_type":"branch","master_branch":"master","description":"In this project, we analyzed and used the data from accelerometers on the belt, forearm, arm, and dumbell of 6 participants to exgract a smaller set of feature variables and use them to develop a decision tree based model to predict or recognize the quality of participants' activities.  The model achieved 95% accuracy with 20 test cases. (source: ","pusher_type":"user"}
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