Implement Human Activity Recognition in PyTorch using hybrid of LSTM, Bi-dir LSTM and Residual Network Models
The project I produced for the assignment for 'Course 3: Getting and Cleaning Data, of the Data Science Specialization from Johns Hopkins University on Coursera'.
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.
Mini-Project Given during the Assignment 1 of ML Course of IITGN ES-335
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