https://github.com/kshru9/decision-trees-fromscratch

A complete implementation of Decision Trees and ensemble methods: bagging, random forest and Adaboost with all the necessary plots.
https://github.com/kshru9/decision-trees-fromscratch

adaboost decision-tree-classifier decision-tree-regression decision-trees ensemble-learning iris-dataset machine-learning-algorithms random-forest realestate scratch scratch-implementation

Last synced: about 2 months ago
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A complete implementation of Decision Trees and ensemble methods: bagging, random forest and Adaboost with all the necessary plots.

• Host: GitHub
• URL: https://github.com/kshru9/decision-trees-fromscratch
• Owner: kshru9
• Created: 2021-03-15T12:13:32.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2021-03-15T12:16:27.000Z (almost 4 years ago)
• Last Synced: 2024-10-12T12:12:36.472Z (3 months ago)
• Topics: adaboost, decision-tree-classifier, decision-tree-regression, decision-trees, ensemble-learning, iris-dataset, machine-learning-algorithms, random-forest, realestate, scratch, scratch-implementation
• Language: Python
• Homepage:
• Size: 2.95 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0

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