Topic: random-forest

EpistasisLab / tpot

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

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

Python Updated Mar 6, 2018

h2oai / h2o-3

2.9k

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Rando…

Java Updated Mar 8, 2018

szilard / benchm-ml

1.4k

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Pyt…

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

R Updated Feb 2, 2018

biolab / orange3

1.2k

🍊

📊

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

Python Updated Mar 8, 2018 7 issues need help

tirthajyoti / PythonMachineLearning

422

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

numpy statistics pandas matplotlib regression scikit-learn classification principal-component-analysis clustering decision-trees random-forest dimensionality-reduction neural-network deep-learning

Jupyter Notebook Updated Jan 30, 2018

kingfengji / gcForest

411

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

Python Updated Feb 26, 2018

ledell / useR-machine-learning-tutorial

345

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

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

Jupyter Notebook Updated Mar 5, 2018 1 issue needs help

lagodiuk / decision-tree-js

158

Small JavaScript implementation of ID3 Decision tree

decision-tree random-forest machine-learning

JavaScript Updated Jan 10, 2018

arogozhnikov / infiniteboost

132

InfiniteBoost: building infinite ensembles with gradient descent

machine-learning research gradient-boosting random-forest experiments

Jupyter Notebook Updated Feb 24, 2018

ayush1997 / YouTube-Like-predictor

116

YouTube Like Count Predictions using Machine Learning

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

Jupyter Notebook Updated Nov 29, 2017

ShifuML / shifu

113

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

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

Java Updated Mar 8, 2018

MI2DataLab / randomForestExplainer

105

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

random-forest cran

HTML Updated Nov 28, 2017

susanli2016 / Machine-Learning-with-Python

101

Python codes for common Machine Learning Algorithms

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

Jupyter Notebook Updated Mar 2, 2018

mdabros / SharpLearning

78

Machine learning for C# .Net

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

C# Updated Mar 6, 2018

zmjones / edarf

52

exploratory data analysis using random forests

random-forest r rstats exploratory-data-analysis machine-learning

R Updated Feb 6, 2018

edouardpoitras / NowTrade

42

Python library for backtesting technical/mechanical strategies in the stock and currency markets

trading technical-indicators neural-network random-forest stock currency algorithmic-trading-library python machine-learning

Python Updated Feb 8, 2017

asafschers / scoruby

30

Ruby Scoring API for PMML

ruby-gem pmml random-forest classification rubyml machine-learning gradient-boosting-classifier gbm ruby gradient-boosted-models decision-tree naive-bayes

Ruby Updated Mar 5, 2018

anujdutt9 / Handwritten-Digit-Recognition-using-Deep-Learning

30

Handwritten Digit Recognition using Machine Learning and Deep Learning

mnist-classification convolutional-neural-networks python-3-5 handwritten-digit-recognition machine-learning deep-learning knn random-forest svm-model tensorflow keras theano classification

Python Updated Jan 17, 2018

mratsim / Arch-Data-Science

27

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

archlinux data-science machine-learning deep-learning package tensorflow scikit-learn mxnet opencv nervana pandas compression pydata cudnn cuda random-forest gradient-boosting-classifier pytorch

Shell Updated Nov 17, 2017

adityashrm21 / Bike-Sharing-Demand-Kaggle

24

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

kaggle kaggle-competition kaggle-scripts kaggle-dataset data-science datascience machine-learning random-forest bikesharing r feature-extraction feature-engineering decision-trees boxplots log-transformation

R Updated Jan 24, 2018

masatoi / cl-random-forest

23

Random forest in Common Lisp

random-forest machine-learning common-lisp classifier regression

Common Lisp Updated Jan 8, 2018

aehrc / VariantSpark

19

machine learning for genomic variants

variant-spark gwas random-forest genome association-studies vcf

Scala Updated Mar 8, 2018

ChuckWoodraska / EurekaTrees

18

Visualizes the Random Forest debug string from the MLLib in Spark using D3.js

mllib visualizer random-forest tree

Python Updated Jan 11, 2018

ymattu / MlBayesOpt

17

R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian…

r pacakge random-forest support-vector-machine xgboost tuning-parameters

R Updated Jan 18, 2018

KarchinLab / 2020plus

16

Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests

random-forest cancer somatic-variants driver-genes bioinformatics

Python Updated Nov 23, 2017

Doodies / Github-Stars-Predictor

14

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 st…

github-api github-stars machine-learning deep-learning data-visualization prediction gradient-boosting-regressor deep-neural-networks random-forest catboost nodejs python keras matplotlib seaborn xgboost

Jupyter Notebook Updated Mar 1, 2018

lhm30 / PIDGINv2

12

PIDGIN Version 2: Prediction IncluDinG INactivity: Version 2 (OLD VERSION: https://github.com/lhm30/PIDGIN)

target target-predictions target-prediction pubchem weight random-forest molecule cheminformatics chemoinformatics

Python Updated Jan 25, 2018

dlab-berkeley / Machine-Learning-in-R

12

4-hour tutorial on machine learning in R: knn, OLS, decision trees, random forest, gbm, superlearner

machine-learning dlab-berkeley tutorial knn random-forest gradient-boosting-machine superlearner decision-trees

HTML Updated Mar 8, 2018

asafschers / goscore

10

Go Scoring API for PMML

golang pmml random-forest classification machine-learning decision-trees

Go Updated Nov 11, 2017

lytics / CloudForest

10

Ensembles of decision trees in go/golang.

trees random-forest math

Forked from ryanbressler/CloudForest Go Updated May 17, 2017

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Repositories 492