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random-forest

Here are 2,072 public repositories matching this topic...

EpistasisLab / tpot

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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

python data-science machine-learning automation random-forest scikit-learn model-selection xgboost hyperparameter-optimization feature-engineering automl gradient-boosting automated-machine-learning parameter-tuning

Updated Aug 3, 2020
Python

h2oai / h2o-3

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Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Updated Aug 11, 2020
Jupyter Notebook

susanli2016 / Machine-Learning-with-Python

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Python code for common Machine Learning Algorithms

random-forest svm linear-regression naive-bayes-classifier pca logistic-regression decision-trees lda polynomial-regression kmeans-clustering hierarchical-clustering svr knn-classification xgboost-algorithm

Updated Jun 18, 2020
Jupyter Notebook

orange3

biolab / orange3

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🍊 📊 💡 Orange: Interactive data analysis https://orange.biolab.si

Updated Aug 10, 2020
Python

szilard / benchm-ml

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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.).

python data-science machine-learning r spark deep-learning random-forest h2o xgboost gradient-boosting-machine

Updated Aug 19, 2019
R

tirthajyoti / Machine-Learning-with-Python

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Practice and tutorial-style notebooks covering wide variety of machine learning techniques

data-science machine-learning statistics deep-learning neural-network random-forest clustering numpy naive-bayes scikit-learn regression pandas artificial-intelligence classification dimensionality-reduction matplotlib decision-trees principal-component-analysis k-nearest-neighbours

Updated Jul 30, 2020
Jupyter Notebook

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 Aug 2, 2020
Python

kingfengji / gcForest

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This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

machine-learning random-forest ensemble-learning deep-forest

Updated Jul 25, 2020
Python

kk7nc / Text_Classification

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Text Classification Algorithms: A Survey

deep-learning random-forest text-classification recurrent-neural-networks naive-bayes-classifier dimensionality-reduction logistic-regression document-classification convolutional-neural-networks text-processing decision-trees boosting-algorithms support-vector-machines hierarchical-attention-networks nlp-machine-learning conditional-random-fields k-nearest-neighbours deep-belief-network rocchio-algorithm deep-neural-network

Updated Jun 15, 2020
Python

nickgillian / grt

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gesture recognition toolkit

machine-learning random-forest linear-regression kmeans support-vector-machine dynamic-time-warping gesture-recognition gesture-recognition-toolkit softmax grt

Updated Nov 1, 2019
C++

awesome-fraud-detection-papers

benedekrozemberczki / awesome-fraud-detection-papers

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A curated list of data mining papers about fraud detection.

classifier data-science data-mining deep-learning random-forest credit-card-fraud classification fraud-management logistic-regression fraud-prevention credit-scoring churn link-prediction fraud-detection gradient-boosting fraud-checker graph-classification credit-card-validation credit-card-fraud-detection fraud-explorer

Updated Aug 2, 2020
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 Aug 2, 2020
Python

Xtra-Computing / thundergbm

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ThunderGBM: Fast GBDTs and Random Forests on GPUs

machine-learning random-forest gpu cuda gbdt

Updated Jul 22, 2020
C++

machinelearnjs / machinelearnjs

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Machine Learning library for the web and Node.

machine-learning node web random-forest svm statistical-learning feature-extraction easy-to-use structured-data data-preprocessing minimalistic probabilistic-models

Updated Aug 7, 2020
TypeScript

grf-labs / grf

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Generalized Random Forests

random-forest causal-inference

Updated Aug 11, 2020
C++

mljar-supervised

mljar / mljar-supervised

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✨ Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

python data-science machine-learning neural-network random-forest scikit-learn xgboost hyperparameter-optimization lightgbm ensemble feature-engineering hyper-parameters automl catboost automatic-machine-learning mljar tuning-algorithm models-tuning

Updated Aug 11, 2020
Python

ledell / useR-machine-learning-tutorial

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useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

data-science machine-learning tutorial r deep-learning random-forest gradient-boosting-machine ensemble-learning

Updated Mar 5, 2018
Jupyter Notebook

jmartinezheras / 2018-MachineLearning-Lectures-ESA

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Machine Learning Lectures at the European Space Agency (ESA) in 2018

machine-learning text-mining lectures deep-learning neural-network random-forest clustering linear-regression pca topic-modeling machinelearning tf-idf decision-trees support-vector-machines lecture-videos lecture-material lecture-slides anomaly-detection

Updated Feb 17, 2020
Jupyter Notebook

mdabros / SharpLearning

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Machine learning for C# .Net

learning machine-learning opensource deep-learning csharp dotnet random-forest metrics machine cross-validation gradient-boosting-machine ensemble-learning adaboost decision-trees neural-nets

Updated Jul 12, 2020
C#

rickiepark / handson-ml

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도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

python machine-learning deep-neural-networks reinforcement-learning deep-learning neural-network random-forest tensorflow svm scikit-learn recurrent-neural-networks xgboost autoencoder ensemble-learning gradient-boosting

Updated Mar 4, 2020
Jupyter Notebook

lagodiuk / decision-tree-js

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Small JavaScript implementation of ID3 Decision tree

machine-learning random-forest decision-tree

Updated Jan 10, 2018
JavaScript

kLabUM / rrcf

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🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

python machine-learning tree random-forest outliers streaming-data anomaly-detection detect-outliers robust-random-cut-forest

Updated Jun 10, 2020
Python

sanity / quickml

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A fast and easy to use decision tree learner in java

java machine-learning random-forest decision-tree

Updated Feb 11, 2020
Java

ShifuML / shifu

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An end-to-end machine learning and data mining framework on Hadoop

machine-learning hadoop neural-network pipeline random-forest bigdata gbdt shifu end-to-end-machine-learning

Updated Aug 11, 2020
Java

arogozhnikov / infiniteboost

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InfiniteBoost: building infinite ensembles with gradient descent

machine-learning research random-forest experiments gradient-boosting

Updated Sep 17, 2018
Jupyter Notebook

Edward1Chou / Textclassification

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several methods for text classification

random-forest tensorflow logistic-regression tf-idf

Updated Dec 31, 2017
Python

ModelOriented / randomForestExplainer

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A set of tools to understand what is happening inside a Random Forest

cran random-forest

Updated Jul 12, 2020
R

NLP-kr / tensorflow-ml-nlp

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텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Updated Jan 14, 2020
Jupyter Notebook

ayush1997 / YouTube-Like-predictor

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YouTube Like Count Predictions using Machine Learning

visualization data-science machine-learning random-forest youtube-api data-analysis predictive-analysis

Updated Mar 12, 2019
Jupyter Notebook

dlab-berkeley / Machine-Learning-in-R

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Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

machine-learning tutorial random-forest cluster superlearner lasso xgboost pca decision-trees dlab-berkeley

Updated Mar 9, 2020
CSS

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