GitHub - Mahfoozalam1516/Human_Activity_Recognition-_using_Smartphone_datasets: The results were impressive! My best-performing model achieved an accuracy of 96% through SVM classifier in classifying activities such as walking, sitting, standing, and more.

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The results were impressive! My best-performing model achieved an accuracy of 96% through SVM classifier in classifying activities such as walking, sitting, standing, and more.

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.gitattributes		.gitattributes
Human Activity Recognition model.html		Human Activity Recognition model.html
Human Activity Recognition model.py		Human Activity Recognition model.py
human_activity_recognition_using_smartphone_Y.ipynb		human_activity_recognition_using_smartphone_Y.ipynb
test.csv		test.csv
train.csv		train.csv

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The results were impressive! My best-performing model achieved an accuracy of 96% through SVM classifier in classifying activities such as walking, sitting, standing, and more.

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