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GitHub / suhaibmukhtar / Human-Activity-Recognition-With-Smart-Phone
This project is to build a model that *predicts the human activities* such as __Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing__ and __Laying__ as done in Smart-Watches.
Stars: 0
Forks: 0
Open issues: 0
License: gpl-3.0
Language: Jupyter Notebook
Size: 8.07 MB
Dependencies parsed at:
0
Created at: 2 months ago
Updated at: 2 months ago
Pushed at: 2 months ago
Last synced at: 2 months ago
Topics: activity-recognition, analytics, correlation-analysis, data-pre, data-visualization, feature-engineering, feature-selection, machine-learning, matplotlib, model-building-and-evaluation, numpy, pandas, scikit, seaborn, variance-threshold
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