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Search results for gradient boosting machine
gradient-boosting-machine
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28 search results found
Awesome Decision Tree Papers
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2,266
A collection of research papers on decision, classification and regression trees with implementations.
Benchm Ml
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1,839
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Awesome Gradient Boosting Papers
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930
A curated list of gradient boosting research papers with implementations.
Interpretable_machine_learning_with_python
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629
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Chefboost
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428
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
User Machine Learning Tutorial
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386
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Sharplearning
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372
Machine learning for C# .Net
Tgboost
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294
Tiny Gradient Boosting Tree
Gbm Perf
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180
Performance of various open source GBM implementations
Gbdt
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92
Arboretum
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63
Gradient Boosting powered by GPU(NVIDIA CUDA)
Telco Customer Churn In R And H2o
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57
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
Gbm
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50
Gradient boosted models (the old gbm package)
Housing
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34
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
Boostedfactorization
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31
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
Ml2017
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28
NTUEE Machine Learning, 2017 Spring
Decision Trees For Ml
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27
Building Decision Trees From Scratch In Python
Miniboosts
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25
A collection of boosting algorithms written in Rust 🦀
Bonsai Dt
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23
Programmable Decision Tree Framework
Gbm Tune
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21
Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
Mlim
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21
mlim: single and multiple imputation with automated machine learning
Interpretable Ml
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17
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
Fast Furious
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16
code (R, Matlab/Octave), models and meta-models I needed in my Machine Learning Lab but I didn't found on the shelf
Py Boostlss
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13
An extension of Py-Boost to probabilistic modelling
Mlday18
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13
Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
H2o Ai 101
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8
This repository covers h2o ai based implementations
Creditanalytics Loan Prediction
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6
A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors
Startml
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6
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.
1-28 of 28 search results
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