GitHub / coderjolly / health-analytics-using-ML-and-wearble-sensors
This project leverages machine learning to analyze health data from wearable sensors. It focuses on classifying obesity levels, age groups, and calorie consumption habits. With a dataset of physical, lifestyle & demographic features, we used techniques like Support Vector Machines, Random Forests and XGBoost.
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PURL: pkg:github/coderjolly/health-analytics-using-ML-and-wearble-sensors
Stars: 1
Forks: 0
Open issues: 0
License: gpl-3.0
Language: Jupyter Notebook
Size: 1.64 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: 4 months ago