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https://github.com/gmgyan/Personal-Activity-Predictor
The goal of this project is to use data from accelerometers on the belt, forearm, arm, and dumbbell of 6 participants to predict the manner in which they did the exercise
https://github.com/gmgyan/Personal-Activity-Predictor
caret fitbit fitness-tracker fuelband ml practical-machine-learning r-programming random-forest
Last synced: about 2 months ago
JSON representation
The goal of this project is to use data from accelerometers on the belt, forearm, arm, and dumbbell of 6 participants to predict the manner in which they did the exercise
- Host: GitHub
- URL: https://github.com/gmgyan/Personal-Activity-Predictor
- Owner: gmgyan
- Created: 2016-04-18T18:32:13.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2018-12-15T17:34:08.000Z (almost 6 years ago)
- Last Synced: 2024-04-23T07:07:35.293Z (5 months ago)
- Topics: caret, fitbit, fitness-tracker, fuelband, ml, practical-machine-learning, r-programming, random-forest
- Homepage:
- Size: 934 KB
- Stars: 1
- Watchers: 1
- Forks: 2
- Open Issues: 0
Awesome Lists containing this project
- jimsghstars - gmgyan/Personal-Activity-Predictor - The goal of this project is to use data from accelerometers on the belt, forearm, arm, and dumbbell of 6 participants to predict the manner in which they did the exercise (Others)