Sleep stage classification using Gradient Boosted Classifier
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Updated
Dec 12, 2023 - Python
Sleep stage classification using Gradient Boosted Classifier
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A supervised ML classification project that predicts sleep disorders- Insomnia, Sleep Apnea, or None from health and lifestyle features including age, BMI, stress level, sleep duration, and blood pressure, using Logistic Regression, Random Forest, and SVM.
This project involves the prediction of a subjects future sleep stage based on their Apple Watch data and their current and previous sleep stages
Sleep trackers tell you how you slept. SleepArchitect predicts it before you go to bed, by running Borbely's two-process model over today's caffeine, alcohol, workouts, light, and meal timing.
Machine learning-powered web application that predicts optimal daily sleep hours based on lifestyle habits using Flask, Scikit-learn, and an interactive web interface.
[ZZZ] 웨어러블 및 환경 센싱 기반의 개인 맞춤형 수면 질 예측 및 해석 서비스
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