https://github.com/spujadas/coursera-pml
https://github.com/spujadas/coursera-pml
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/spujadas/coursera-pml
- Owner: spujadas
- Created: 2017-01-28T16:56:37.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-01-28T16:58:46.000Z (over 9 years ago)
- Last Synced: 2025-03-04T04:41:45.146Z (over 1 year ago)
- Language: HTML
- Size: 243 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Coursera Practical Machine Learning Peer-graded Assignment
One thing that people regularly do is quantify how much of a particular activity they do, but they rarely quantify how well they do it. In this project, our goal will be to use data from accelerometers – on the belt, forearm, arm, and dumbbell – of 6 participants, to assess how well weights are lifted.
As per the assignment:
- The [GitHub repository](https://github.com/spujadas/coursera-pml) contains the source material (R markdown and compiled HTML file).
- Our analysis can be [read online](http://spujadas.github.io/coursera-pml/predicting-exercise-quality).