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36 search results found

Cloudforest ⭐ 705

Ensembles of decision trees in go/golang.

Phd Thesis ⭐ 468

Repository of my thesis "Understanding Random Forests"

Chefboost ⭐ 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

Decision Tree Js ⭐ 237

Small JavaScript implementation of ID3 Decision tree

Aws Machine Learning University Dte ⭐ 177

Machine Learning University: Decision Trees and Ensemble Methods

Machine Learning In R ⭐ 144

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

Random Forest ⭐ 144

Randomized Decision Trees: A Fast C++ Implementation of Random Forests.

Random Forest implemtation in GoLang

Ruby Scoring API for PMML

Language Detection.el ⭐ 53

Automatic programming language detection of code snippets, in Emacs Lisp

Quantumforest ⭐ 53

Fast Differentiable Forest lib with the advantages of both decision trees and neural networks

Interpreting Decision Trees And Random Forests ⭐ 53

Unwrapping decision trees and random forests to make them less of a black box

Go Scoring API for PMML

Machine_learning ⭐ 27

Machine learning in R

Decision Trees For Ml ⭐ 27

Building Decision Trees From Scratch In Python

Incrementaltrees ⭐ 26

Adds partial fit method to sklearn's forest estimators to allow incremental training without being limited to a linear model. Works with Dask-ml's Incremental.

Stata Pylearn ⭐ 19

Supervised learning algorithms in Stata

Randomforest Machinelearning ⭐ 18

Python package for analysing data using machine learning techniques. Provides implementations of different kinds of decision trees and random forests in order to solve classification problems.

A tool for visualizing the structure and performance of Random Forests 🌳

Amazon Fine Food Review ⭐ 16

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Endtoenddecisiontrees ⭐ 15

Implementation of the paper End-to-end Learning of Deterministic Decision Trees

Decisiontreenim ⭐ 15

Decision tree and Random forest implementation in nim

Adaptiverandomforest ⭐ 14

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Decision Tree ⭐ 14

Based on decision tree

Encoder Forest ⭐ 13

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

Recursive Partitioning for Structural Equation Models

A set of tools useful for doing experiments with fuzzy forests

Random Forest ⭐ 10

Implementation of a Random Forest classifier in both Python and Scala

Algorithm Performance Analysis ⭐ 10

Java Decision Forest ⭐ 9

Package implements decision tree and isolation forest

Treebasedmachinelearningalgorithms ⭐ 9

source code from the book Tree-based Machine Learning Algorithms by Clinton Sheppard

Decision Tree ⭐ 8

decision tree, random forests, based by d3, 决策树，随机森林，基于D3开发

Randomforests ⭐ 8

Random Forest Library In Python Compatible with Scikit-Learn

Human_resources_analytics Prediction ⭐ 7

Prediction of "left/stayed" employees using Decision Trees and more

Data Science ⭐ 7

EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)

A rust crate for tailoring random forests and decision trees to *your* data set.

Handwrittendigit Recognition ⭐ 7

Hand written digit recognition with SVM, Decision Tree and Random Forests

Gender Voice Recognition_machine Learning ⭐ 6

Supervised Machine Learning Classification Algorithms using Python and R (Logistic Regression, Decision Tree, Random Forest, SVM)

Paris Traffic Prediction ⭐ 6

Visualization and Prediction model of Paris traffic ( random Forests ) from data published by the OpenData-Paris project

Conducere ⭐ 6

Evaluating machine learning algorithms for learning individual music tastes

Plot tree based machine learning models

Transportmodedetection ⭐ 5

Machine Learning ⭐ 5

A comprehensive comparison of decision tree and random forest for cancer classification.

Randomforestpruning Ismm 2017 ⭐ 5

Cost-complexity pruning of random forests

q statistical learning

Forests Intro ⭐ 5

🌲🌳🌴 Trees and forests, machine-learning for the 99%. A 1hr introduction.

Pylearning ⭐ 5

Simple high-level machine-learning library in Python

Depthhead ⭐ 5

Head pose estimation using depth data and a hough forest

Deep Neural Decision Forests ⭐ 5

A model combining Deep Neural Networks and (Stochastic) Random Forests.

Iot Predictive Maintenance ⭐ 5

EDGE2AI workshop featuring CDF and CDSW

Loan Default Prediction ⭐ 5

Loan Default Prediction Machine Learning Project

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1-36 of 36 search results

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