GitHub / Ayantika22 / Kmeans-and-Hierarchical-clustering-for-Seed-dataset
Kmeans and Hierarchical clustering for Seed-dataset in Machine Learning
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PURL: pkg:github/Ayantika22/Kmeans-and-Hierarchical-clustering-for-Seed-dataset
Stars: 2
Forks: 2
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 201 KB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: almost 2 years ago
Pushed at: about 5 years ago
Last synced at: almost 2 years ago
Topics: accuracy, classification, classifier, cohen-kappa, decision-tree-classifier, gaussian-naive-bayes, hierarchical-clustering, jupyter-notebook, k-nearest-neighbors, kmeans-clustering, knn-classifier, logistic-regression, machine-learning, python-3, random-forest-classifier, seed-dataset, support-vector-machine, unsupervised-learning