GitHub / pgoyal77 / Sleep_Disorder_Prediction_Machine_Learning
This project focuses on predicting sleep disorders using real-world health data. By training machine learning models on features like BMI, age, gender, stress level, physical activity, and more. the workflow includes EDA, data preprocessing, feature engineer, model training and evaluation.
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PURL: pkg:github/pgoyal77/Sleep_Disorder_Prediction_Machine_Learning
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 390 KB
Dependencies parsed at: Pending
Created at: 9 days ago
Updated at: 9 days ago
Pushed at: 9 days ago
Last synced at: 9 days ago
Topics: correlation-matrix, data-preprocessing, decision-tree, exploratory-data-analysis, heatmap-visualization, kaggle-dataset, machine-learning, model-building-and-evaluation, random-forest