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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 Aug 29, 2021
  • 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 (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 Sep 16, 2021
  • Python

arnaldog12 / Machine_Learning

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Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

python machine-learning neural-network naive-bayes linear-regression machine-learning-algorithms regression feature-selection logistic-regression kmeans adaboost decision-trees polynomial-regression knn principal-component-analysis redes-neurais-artificiais linear-discriminant-analysis multilinear-regression
  • Updated Apr 11, 2021
  • Jupyter Notebook

kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

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Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

pipeline random-forest prediction stock logistic-regression predictive-analysis stocks adaboost predictive-modeling algorithmic-trading decision-tree svm-classifier quadratic-discriminant-analysis parameter-tuning guassian-processes gridsearchcv knn-classifier
  • Updated Dec 3, 2020
  • Jupyter Notebook

zhaoyichanghong / machine_learing_algo_python

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implement the machine learning algorithms by python for studying

machine-learning deep-learning neural-network linear-regression collaborative-filtering gaussian-mixture-models gbdt logistic-regression tf-idf kmeans adaboost support-vector-machines decision-tree principal-component-analysis linear-discriminant-analysis spectral-clustering isolation-forest k-nearest-neighbor rbf-network gaussian-discriminant-analysis
  • Updated Oct 24, 2019
  • Python

kennedyCzar / FORECASTING-1.0

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Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

neural-networks forecasting rnn lightgbm adaboost fibonacci-series prophet forecasting-models ema rsi time-series-analysis facebook-prophet-forecasting time-series-prediction macd relative-strength-index time-series-forecasting facebook-prophet signal-generator supertrend pivot-point
  • Updated Mar 28, 2020
  • Python

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