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ECG-Classification

Implemented multiple machine learning methods in Python to classify participant age using participants' ECG signals. Achieved a classification accuracy of 93.1916% using Linear SVM.

Refer to Final Paper for more information on the project and data files.

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Implemented multiple machine learning methods to classify participant age using participants' ECG signals. Achieved a classification accuracy of 93.1916% using Linear SVM.

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