gradient-boosting-machines

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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 (GBDT, GBRT, GBM), 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 Jun 29, 2021
Python

pwilliamb / Hull-Tactical-Contest

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Repository of all code for Team PESTO's Hull Tactical Prediction Contest Model

lstm-neural-networks financial-data-analysis gradient-boosting-machines

Updated Apr 6, 2020
Jupyter Notebook

exploredubey / tf_computer_vision

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Exploring MNIST Dataset using Tensorflow and Keras

random-forest tensorflow keras mnist deeplearning k-nearest-neighbours support-vctor-machines decesion-trees extra-tree-regressor gradient-boosting-machines

Updated Jul 24, 2018
Jupyter Notebook

harper-he / Python

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visualization nlp machine-learning spark deep-learning hadoop sentiment-analysis random-forest clustering semantics linear-regression nltk pca classification regularization recommender-systems tokenization bagging gradient-boosting-machines bootstrap-sampling

Updated Jun 10, 2021
Jupyter Notebook

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