PrachiDhiman5/Lifestyle-Health-Risk-Prediction
Machine Learning project that predicts lifestyle-related health risks using data analysis and predictive modeling. Built an end-to-end ML pipeline including preprocessing, feature engineering, EDA, and models (regression, classification, clustering) using Python, Pandas, NumPy, and Scikit-learn.
24
Stars
1
Forks
19.7
Radar Score
Declining
Momentum
Scoring Breakdown
Impact6.9
Velocity19.3
Health40.8
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Jupyter Notebook
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🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
19.7
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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