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GitHub / kb22 / Activity-Recognition-using-Machine-Learning

The project involves training a Machine Learning model to classify the kind of activity a person is performing including sitting, standing, laying, walking, walking upstairs and walking downstairs using data collected from smartphones.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kb22%2FActivity-Recognition-using-Machine-Learning

Stars: 4
Forks: 11
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 24.4 MB
Dependencies parsed at: Pending

Created at: over 6 years ago
Updated at: about 4 years ago
Pushed at: over 6 years ago
Last synced at: about 2 years ago

Topics: activity-recognition, classification, machine-learning, smartphone

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