decision-trees

There are 23 repositories under decision-trees topic.

LightGBM
microsoft / LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r
Language:C++ 16824
catboost / catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
big-data catboost categorical-features coreml cuda data-mining data-science decision-trees gbdt gbm gpu gpu-computing gradient-boosting kaggle machine-learning python r tutorial
Language:Python 8161
orange3
biolab / orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
data-mining data-science machine-learning data-visualization orange python scikit-learn numpy scipy pandas decision-trees clustering visualization orange3 random-forest plotting classification regression visual-programming
Language:Python 4932
susanli2016 / Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
decision-trees hierarchical-clustering kmeans-clustering knn-classification lda linear-regression logistic-regression naive-bayes-classifier pca polynomial-regression random-forest svm svr xgboost-algorithm
Language:Jupyter Notebook 4359
greyhatguy007 / Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
andrew-ng andrew-ng-machine-learning coursera coursera-assignment coursera-specialization decision-trees deep-learning linear-regression logistic-regression machine-learning mooc neural-network python recommendation-system solutions supervised-machine-learning tensorflow unsupervised-learning unsupervised-machine-learning
Language:Jupyter Notebook 4176
tirthajyoti / Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
artificial-intelligence classification clustering data-science decision-trees deep-learning dimensionality-reduction flask k-nearest-neighbours machine-learning matplotlib naive-bayes neural-network numpy pandas pytest random-forest regression scikit-learn statistics
Language:Jupyter Notebook 3137
parrt / dtreeviz
A python library for decision tree visualization and model interpretation.
data-science decision-trees machine-learning model-interpretation python random-forest scikit-learn visualization xgboost
Language:Jupyter Notebook 2990
kk7nc / Text_Classification
Text Classification Algorithms: A Survey
boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing
Language:Python 1806
edyoda / data-science-complete-tutorial
For extensive instructor led learning
decision-trees feature-selection linear-regression machine-learning nearest-neighbors numpy pandas pipeline scikit-learn
Language:Jupyter Notebook 1803
justmarkham / DAT8
General Assembly's 2015 Data Science course in Washington, DC
clustering course data-analysis data-cleaning data-science data-visualization decision-trees ensemble-learning jupyter-notebook linear-regression logistic-regression machine-learning model-evaluation naive-bayes natural-language-processing pandas python regular-expressions scikit-learn web-scraping
Language:Jupyter Notebook 1606
nivu / ai_all_resources
A curated list of Best Artificial Intelligence Resources
machine-learning regression neural-networks tensorflow data-science decision-trees deep-learning mathematics artificial-intelligence rnn gan reinforcement-learning convolutional-neural-networks support-vector-machine random-forest knn kmeans statquest python statistics
Language:Jupyter Notebook 1085
tensorflow / decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
python machine-learning random-forest tensorflow ml decision-trees gradient-boosting interpretability decision-forest keras
Language:Python 666
alvinwan / neural-backed-decision-trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
cifar10 cifar100 decision-trees explainability image-classification imagenet interpretability neural-backed-decision-trees neural-networks pretrained-models pretrained-weights pytorch tiny-imagenet
Language:Python 610
google / yggdrasil-decision-forests
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
cpp cli tensorflow machine-learning ml decision-trees decision-forest random-forest gradient-boosting cart interpretability distributed-computing go javascript pypi python
Language:C++ 510
serengil / chefboost
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
adaboost c45-trees cart categorical-features data-mining data-science decision-trees gbdt gbm gbrt gradient-boosting gradient-boosting-machine gradient-boosting-machines id3 kaggle machine-learning python random-forest regression-tree
Language:Python 463
supertree
mljar / supertree
Visualize decision trees in Python
decision-trees lightgbm random-forest xgboost
Language:Python 461
dmitryikh / leaves
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
boosting decision-trees go golang lightgbm machine-learning xgboost
Language:Go 433
Skylark0924 / Machine-Learning-is-ALL-You-Need
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
deep-reinforcement-learning keras pytorch tensorflow convolutional-neural-networks lstm dqn ddpg actor-critic ppo trpo qlearning logistic-regression support-vector-machine k-nearest-neighbours naive-bayes-classifier decision-trees random-forest gan resnet
Language:Python 395
mdabros / SharpLearning
Machine learning for C# .Net
adaboost cross-validation csharp decision-trees deep-learning dotnet ensemble-learning gradient-boosting-machine learning machine machine-learning metrics neural-nets opensource random-forest
Language:C# 388
RGF-team / rgf
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
decision-forest decision-trees ensemble-model kaggle machine-learning ml regularized-greedy-forest rgf
Language:C++ 379
siboehm / lleaves
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
python lightgbm llvm decision-trees gradient-boosting machine-learning
Language:Python 379
cerlymarco / linear-tree
A python library to build Model Trees with Linear Models at the leaves.
boosting-tree decision-trees linear-models machine-learning model-trees random-forest scikit-learn tree
Language:Jupyter Notebook 363
jmartinezheras / 2018-MachineLearning-Lectures-ESA
Machine Learning Lectures at the European Space Agency (ESA) in 2018
machinelearning machine-learning linear-regression support-vector-machines decision-trees random-forest neural-network deep-learning clustering pca anomaly-detection text-mining tf-idf topic-modeling lectures lecture-slides lecture-material lecture-videos
Language:Jupyter Notebook 354
jayshah19949596 / Machine-Learning-Models
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
decision-trees dynamic-time-warping em-algorithm gaussian-classifier gaussian-mixture-models kmeans kmeans-algorithm kmeans-clustering knn knn-classification linear-regression logistic-regression machine-learning-algorithms naive-bayes-classifier neural-network principal-component-analysis random-forest singular-value-decomposition supervised-learning value-iteration-algorithm
Language:Matlab 346
fukuball / fuku-ml
Simple machine learning library / 簡單易用的機器學習套件
machine-learning svm support-vector-machines classification regression linear-regression logistic-regression perceptron decision-trees neural-network
Language:Python 281
CynthiaKoopman / Network-Intrusion-Detection
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
nsl-kdd datamining feature-selection network-intrusion-detection intrusion-detection-system machine-learning kdd99 decision-trees random-forest cross-validation
Language:Jupyter Notebook 248
aws-samples / aws-machine-learning-university-dte
Machine Learning University: Decision Trees and Ensemble Methods
boosting catboost decision-trees lightgbm machine-learning random-forest tabular-data xgboost
Language:Jupyter Notebook 244
quocviethere / Coursera-Machine-Learning-Specialization
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
artificial-neural-network decision-trees gradient-descent linear-regression logistic-regression recommender-systems supervised-learning tensorflow tree-ensembles xgboost
Language:Jupyter Notebook 237
RuleBasedIntegration / Rubi
Rubi for Mathematica
symbolic-integration integration-rules mathematica decision-trees
Language:Mathematica 237
arnaldog12 / Machine_Learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
machine-learning machine-learning-algorithms adaboost decision-trees kmeans knn linear-discriminant-analysis principal-component-analysis naive-bayes regression linear-regression neural-network redes-neurais-artificiais multilinear-regression polynomial-regression python feature-selection logistic-regression
Language:Jupyter Notebook 219
rolkra / explore
R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
r shiny eda data-visualisation rmarkdown tidy data-exploration decision-trees
Language:R 215
dlab-berkeley / Machine-Learning-in-R
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
machine-learning dlab-berkeley tutorial random-forest superlearner decision-trees xgboost lasso pca cluster
Language:CSS 191
milaan9 / Machine_Learning_Algorithms_from_Scratch
This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.
machine-learning data-science machine-learning-matlab machine-learning-python tutor-milaan9 naive-bayes-classifier gaussian-naive-bayes fitting-algorithm error-functions frequentist-methods singular-value-decomposition value-iteration-algorithm dynamic-time-warping machine-learning-algorithms matlab4datascience python4datascience decision-trees random-forest
Language:Jupyter Notebook 187
rojaAchary / 30-Days-of-ML-Kaggle
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
data-science decision-trees gradient-descent hands-on jupyter-notebook kaggle machine-learning numpy optimization pandas programming project python python3 scikit-learn xgboost
Language:Jupyter Notebook 185
MBKraus / Predicting_real_estate_prices_using_scikit-learn
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
predicting-housing-prices real-estate machine-learning python knn knn-regression lasso-regression lasso ridge-regression decision-trees random-forest neural-network mlp-regressor ols polynomial-regression amsterdam multi-layer-perceptron xgboost polynomial ensemble-learning
Language:Python 159
funq
psaris / funq
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
kdb q machine-learning logistic-regression decision-trees naive-bayes neural-network pagerank clustering collaborative-filtering linear-regression neural-network-regression neural-network-classification k-nearest-neighbours k-means heirarchical-clustering expectation-maximization page-rank reccomendersystem
Language:q 135

decision-trees

microsoft / LightGBM

catboost / catboost

biolab / orange3

susanli2016 / Machine-Learning-with-Python

greyhatguy007 / Machine-Learning-Specialization-Coursera

tirthajyoti / Machine-Learning-with-Python

parrt / dtreeviz

kk7nc / Text_Classification

edyoda / data-science-complete-tutorial

justmarkham / DAT8

nivu / ai_all_resources

tensorflow / decision-forests

alvinwan / neural-backed-decision-trees

google / yggdrasil-decision-forests

serengil / chefboost

mljar / supertree

dmitryikh / leaves

Skylark0924 / Machine-Learning-is-ALL-You-Need

mdabros / SharpLearning

RGF-team / rgf

siboehm / lleaves

cerlymarco / linear-tree

jmartinezheras / 2018-MachineLearning-Lectures-ESA

jayshah19949596 / Machine-Learning-Models

fukuball / fuku-ml

CynthiaKoopman / Network-Intrusion-Detection

aws-samples / aws-machine-learning-university-dte

quocviethere / Coursera-Machine-Learning-Specialization

RuleBasedIntegration / Rubi

arnaldog12 / Machine_Learning

rolkra / explore

dlab-berkeley / Machine-Learning-in-R

milaan9 / Machine_Learning_Algorithms_from_Scratch

rojaAchary / 30-Days-of-ML-Kaggle

MBKraus / Predicting_real_estate_prices_using_scikit-learn

psaris / funq