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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
awesome-gradient-boosting-papers

benedekrozemberczki / awesome-gradient-boosting-papers

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A curated list of gradient boosting research papers with implementations.

classifier machine-learning deep-learning random-forest h2o xgboost lightgbm gradient-boosting-machine adaboost decision-tree gradient-boosting-classifier classification-algorithm gradient-boosting boosting classification-trees xgboost-algorithm catboost gradient-boosted-trees classification-tree gradient-boosting-decision-trees
  • Updated Mar 16, 2024
  • Python

maykulkarni / Machine-Learning-Notebooks

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Machine Learning notebooks for refreshing concepts.

python machine-learning natural-language-processing reinforcement-learning deep-learning machine-learning-algorithms neural-networks deep-learning-algorithms dimensionality-reduction python-machine-learning data-processing regression-models deep-learning-tutorial data-science-notebook model-evaluation classification-trees clustering-methods machine-learning-tutorials
  • Updated Aug 24, 2021
  • Jupyter Notebook

chicago-joe / Python-ML-for-Financial-Applications

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Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

python data-science machine-learning scikit-learn machine-learning-algorithms regression feature-extraction classification data-analysis ensemble-learning regression-models hyperparameter-tuning financial-markets classification-algorithm financial-engineering classification-trees regression-trees regression-algorithms classification-model machinelearning-python
  • Updated Jun 13, 2019
  • Python

bryce-bowles / alchemy-broker-modeling

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Performed segmentation analysis and predictive modeling on insurance broker performance to conclude a random forest model (highest AUC of 73%) predicted whether 2020 Gross Written Premium will increase or decrease from 2019 with a misclassification rate of 35%. Four classification models (classification trees, logistic regression, random forests…

machine-learning random-forest prediction classification logistic-regression prescriptive-analytics support-vector-machines classification-trees
  • Updated Mar 27, 2022
  • R

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