GitHub / ShrinivasaPH / ML-Clustering-Countries
This project clusters countries based on socio-economic factors using Gaussian Mixture Model (GMM). Input data like child mortality, income, etc., and get a prediction of whether a country is Poor Developing or Rich. The results are visualized on an interactive world map, allowing you to explore global clustering patterns.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ShrinivasaPH%2FML-Clustering-Countries
PURL: pkg:github/ShrinivasaPH/ML-Clustering-Countries
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 3.31 MB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 6 months ago
Topics: clustering, clustering-algorithm, clustering-analysis, clustering-models, dbscan, dbscan-algorithm, dbscan-clustering, gmm, gmm-clustering, machine-learning, machine-learning-algorithms