GitHub - patrickkugelman/AI-Sleep-Management: ML system analyzing sleep quality and health correlations from survey data. Uses Random Forest, XGBoost, MLP, SVM and KNN classifiers with SMOTE balancing, GridSearch tuning, and interactive Plotly/Seaborn visualizations.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
sleep_monitoring_ai		sleep_monitoring_ai
.gitattributes		.gitattributes
.gitignore		.gitignore
P2.4 - Military (Responses) (2).xlsx		P2.4 - Military (Responses) (2).xlsx
advanced_correlation_heatmap.png		advanced_correlation_heatmap.png
correlation_heatmap.png		correlation_heatmap.png
health_vs_sleep_scatter.png		health_vs_sleep_scatter.png
interactive_correlation_map.html		interactive_correlation_map.html
main.py		main.py
precision_recall_curve.html		precision_recall_curve.html
precision_recall_curve.png		precision_recall_curve.png
top_correlations_bar.html		top_correlations_bar.html

About

ML system analyzing sleep quality and health correlations from survey data. Uses Random Forest, XGBoost, MLP, SVM and KNN classifiers with SMOTE balancing, GridSearch tuning, and interactive Plotly/Seaborn visualizations.