Child Mortality Analysis Using Unsupervised Learning
- Tejaswi Rupa Neelapu
- Apr 20
- 1 min read
Tags: PCA | Clustering | Health Analytics
Link: GitHub
đ Overview
Explored global causes of death in children under 5 across 30 years using clustering and dimensionality reduction.
â Key Questions
Which countries share similar child mortality profiles?
What are the leading causes of death?
đ§Ş Methodology
PCA & SVD for dimensionality reduction
K-Means and Hierarchical Clustering for grouping
đ Results
7 principal components captured 90%+ variance
India, Nigeria, Ethiopia showed highest under-5 death burden
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