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 1 year 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 (about 5 years ago)
- Default Branch: master
- Last Pushed: 2021-03-15T12:16:27.000Z (about 5 years ago)
- Last Synced: 2025-01-10T22:18:18.272Z (over 1 year 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