https://github.com/somjit101/human-activity-recognition

This project is to build a model that predicts the human activities such as Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing or Laying using readings from the sensors on a smartphone carried by the user.
https://github.com/somjit101/human-activity-recognition

decision-tree-classifier eda feature-engineering gradient-boosting-classifier grid-search human-activity-recognition keras logistic-regression lstm random-forest-classifier rbf-kernel scikit-learn seaborn-plots signal-processing support-vector-classifier support-vector-machine t-sne tensorflow uci-har-dataset uci-machine-learning

Last synced: about 2 months ago
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This project is to build a model that predicts the human activities such as Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing or Laying using readings from the sensors on a smartphone carried by the user.

• Host: GitHub
• URL: https://github.com/somjit101/human-activity-recognition
• Owner: somjit101
• Created: 2021-10-05T15:05:07.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-10-08T22:23:53.000Z (about 3 years ago)
• Last Synced: 2023-07-09T17:38:05.333Z (over 1 year ago)
• Topics: decision-tree-classifier, eda, feature-engineering, gradient-boosting-classifier, grid-search, human-activity-recognition, keras, logistic-regression, lstm, random-forest-classifier, rbf-kernel, scikit-learn, seaborn-plots, signal-processing, support-vector-classifier, support-vector-machine, t-sne, tensorflow, uci-har-dataset, uci-machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 58.2 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0

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