GitHub / sudhan-bhattarai / Machine_Learning_01Classification_scikit-learn
Comparing Logistic regression, Support vector machine, Decision tree, Random forest and Gradient Boosting models for binary classification ML problem using scikit-learn.
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PURL: pkg:github/sudhan-bhattarai/Machine_Learning_01Classification_scikit-learn
Stars: 2
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 346 KB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: almost 3 years ago
Pushed at: about 5 years ago
Last synced at: over 2 years ago
Topics: classification, cross-validation, data-science, decision-trees, gradient-boosting, jupyter-notebook, kfold-cross-validation, logistic-regression, machine-learning, python, random-forest, sckit-learn, sklearn, support-vector-machines