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regression-tree

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awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

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A collection of research papers on decision, classification and regression trees with implementations.

classifier machine-learning random-forest statistical-learning xgboost lightgbm gradient-boosting-machine ensemble-learning cart decision-tree tree-ensemble decision-tree-classifier gradient-boosting classification-trees decision-tree-learning decision-tree-model classification-model catboost regression-tree machine-learning-research
  • Updated Mar 16, 2024
  • Python

serengil / chefboost

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A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

python data-science machine-learning data-mining random-forest kaggle id3 gbdt gbm gbrt gradient-boosting-machine cart adaboost decision-trees gradient-boosting c45-trees categorical-features gradient-boosting-machines regression-tree
  • Updated Jul 9, 2025
  • Python

navaneethbr / Machine-Learning-Algorithm-From-Scratch

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This repository contains implementations of various machine learning algorithms built from scratch, without using high-level machine learning libraries like Scikit-learn. The aim is to provide a deeper understanding of how these algorithms work internally by building them using only basic Python libraries such as NumPy.

data-science machine-learning linear-regression machine-learning-algorithms naive-bayes-classifier logistic-regression decision-trees support-vector-machines machine-learning-from-scratch k-means-clustering regression-tree
  • Updated Jun 17, 2025
  • Python

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