->performed data cleaning and feature engineering on a data set of 1,098,207 values of acceleration of device in x, y, z axis. Build baches of time series data (4 seconds each) and labelled is by longest activity of interval. ->Build a neural network model to classify the activity of person into six categories Walking, jogging etc. and achieved a training accuracy of 99.85% and validation accuracy of 99.82%
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performed data cleaning and feature engineering on a data set of 1,098,207 values of acceleration of device in x, y, z axis. Build baches of time series data (4 seconds each) and labelled is by longest activity of interval. Build a neural network model to classify the activity of person into six categories Walking, jogging etc. and achieved a tr…
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uday147/human_activity_recog
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performed data cleaning and feature engineering on a data set of 1,098,207 values of acceleration of device in x, y, z axis. Build baches of time series data (4 seconds each) and labelled is by longest activity of interval. Build a neural network model to classify the activity of person into six categories Walking, jogging etc. and achieved a tr…
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