GitHub / ziraddingulumjanly / Unsupervised-learning-implementation-on-HeartAttackDataset
This study aims to identify distinct subgroups within a dataset of patients with heart attack-related features using unsupervised learning techniques: k-means and Hierarchical
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PURL: pkg:github/ziraddingulumjanly/Unsupervised-learning-implementation-on-HeartAttackDataset
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Python
Size: 1.41 MB
Dependencies parsed at: Pending
Created at: 7 months ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: 3 months ago
Topics: dataset, heartattack, kaggle, kmeans-algorithm, kmeans-clustering, pca-analysis, tsne-algorithm, unsupervised-machine-learning