decision-tree

There are 14 repositories under decision-tree topic.

Jack-Cherish / Machine-Learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
adaboost logistic svm smo knn machine-learning python python3 navie-bayes-algorithm decision-tree adaboost-algorithm regression
Language:Python 8773
mljar-supervised
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automl machine-learning automatic-machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest neural-network lightgbm catboost ensemble tuning-algorithm models-tuning hyper-parameters decision-tree shap automated-machine-learning
Language:Python 2977
awesome-decision-tree-papers
benedekrozemberczki / awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
decision-tree decision-tree-classifier gradient-boosting gradient-boosting-machine regression-tree cart machine-learning machine-learning-research random-forest xgboost lightgbm catboost classification-trees decision-tree-model decision-tree-learning classification-model classifier tree-ensemble ensemble-learning statistical-learning
Language:Python 2355
igrigorik / decisiontree
ID3-based implementation of the ML Decision Tree algorithm
decision-tree machine-learning ruby rubyml
Language:Ruby 1433
awesome-gradient-boosting-papers
benedekrozemberczki / awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
gradient-boosting gradient-boosting-classifier gradient-boosting-machine gradient-boosted-trees gradient-boosting-decision-trees xgboost xgboost-algorithm catboost lightgbm random-forest decision-tree classification-algorithm classification-trees machine-learning deep-learning h2o classifier classification-tree adaboost boosting
Language:Python 992
mbeyeler / opencv-machine-learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
bayesian-learning classifying-handwritten-digits conda-environment decision-tree jupyter-notebook machine-learning opencv python support-vector-machine
Language:Jupyter Notebook 801
jphall663 / interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
machine-learning python fatml xai gradient-boosting-machine decision-tree data-science fairness interpretable-machine-learning interpretability machine-learning-interpretability iml accountability transparency data-mining interpretable-ml interpretable interpretable-ai lime h2o
Language:Jupyter Notebook 669
Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
machine-learning random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection intrusion-detection-system autonomous-vehicles cyber-security network-security stacking cicids2017 catboost ensemble-learning lightgbm
Language:Jupyter Notebook 376
seung-lab / connected-components-3d
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)
connected-components python numpy biomedical-image-processing cpp union-find image-processing cython 3d decision-tree 2d algorithm 3d-images neighborhood path-compression ccl cclabel labeling-algorithms surface-area periodic-boundary
Language:C++ 345
JuliaAI / DecisionTree.jl
Julia implementation of Decision Tree (CART) and Random Forest algorithms
julia machine-learning decision-tree random-forests classification regression
Language:Julia 342
lagodiuk / decision-tree-js
Small JavaScript implementation of ID3 Decision tree
decision-tree machine-learning random-forest
Language:JavaScript 281
microsoft / Forge
A Generic Low-Code Framework Built on a Config-Driven Tree Walker
low-code decision-tree workflow-engine workflow-framework config-driven config roslyn persisted-state dynamic ui treewalker forge microsoft tree-visualization stateful async csharp generic netstandard20
Language:C# 274
milaan9 / Python_Decision_Tree_and_Random_Forest
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
cart-algorithm decision-tree decision-tree-algorithm decision-tree-classification decision-tree-classifier decision-tree-id3 decision-tree-playgolf dtreeviz graphviz id3-algorithm iris-classification python-decision-tree python-decisiontreeclassifier python-tutorial-github python-tutorial-notebook python4beginner python4datascience python4everybody random-forest tutor-milaan9
Language:Jupyter Notebook 248
sanity / quickml
A fast and easy to use decision tree learner in java
decision-tree java machine-learning random-forest
Language:Java 231
fengyang95 / tiny_ml
numpy 实现的周志华《机器学习》书中的算法及其他一些传统机器学习算法
python3 numpy svm lr ensemble boosting machine-learning clustering decision-tree gbdt regression classification dimension-reduction
Language:Python 217
100-Days-Of-ML-Code
harunurrashid97 / 100-Days-Of-ML-Code
A day to day plan for this challenge. Covers both theoritical and practical aspects
machine-learning python eda vizualization 100daysofmlcode datascience tutorials siraj-raval-challenge machine-learning-algorithms infographics 100-days-of-code implementation regression-algorithms exploratory-data-analysis data-science data-preprocessing decision-tree textsummarization linear-regression article
Language:Jupyter Notebook 217
Evovest / EvoTrees.jl
Boosted trees in Julia
gradientboosting machine-learning julia gradient-boosting gbrt decision-tree regression quantile boosted-trees poisson logistic
Language:Julia 175
luokn / ml
经典机器学习算法的极简实现
machine-learning python numpy algorithms adaboost gmm kmeans knn lda log logistic-regression naive-bayes pca perceptron svm decision-tree
Language:Python 173
oguzeroglu / Ego
A lightweight decision making library for game AI.
game-ai game-engine state-machine decision-tree decision-making javascript webgl threejs
Language:JavaScript 173
STMicroelectronics / STMems_Machine_Learning_Core
Configuration files, examples and tools for the Machine Learning Core feature (MLC) available in STMicroelectronics MEMS sensors. Some examples of devices including MLC: LSM6DSOX, LSM6DSRX, ISM330DHCX, IIS2ICLX, LSM6DSO32X, ASM330LHHX, LSM6DSV16X, LIS2DUX12, LIS2DUXS12, LSM6DSV16BX, ASM330LHHXG1, LSM6DSV32X
asm330lhhx asm330lhhxg1 decision-tree iis2iclx ism330dhcx lis2dux12 lis2duxs12 lsm6dso32x lsm6dsox lsm6dsrx lsm6dsv16bx lsm6dsv16x lsm6dsv32x machine-learning mems-sensors mlc stmicroelectronics
Language:C 163
timbertrek
poloclub / timbertrek
Explore and compare 1K+ accurate decision trees in your browser!
decision-tree interactive-visualizations interpretability rashomon visualization
Language:TypeScript 134
kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
stock prediction predictive-modeling predictive-analysis guassian-processes svm-classifier knn-classifier adaboost decision-tree parameter-tuning gridsearchcv pipeline random-forest quadratic-discriminant-analysis logistic-regression algorithmic-trading stocks
Language:Jupyter Notebook 120
SravB / Algorithmic-Trading
Algorithmic trading using machine learning.
python scikit-learn pandas matplotlib stock google-finance decision-tree data-mining machine-learning algorithmic-trading data-science scipy
Language:Python 112
TatevKaren / data-science-popular-algorithms
Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
data-science-portfolio datascience decision-tree kmeans lda lda-model linear-discriminant-analysis machine-learning movie-recommender python3 recommendation-system scala xgboost
Language:Jupyter Notebook 111
Wasim37 / machine_learning_code
机器学习与深度学习算法示例
decision-tree clustering regression svm deeplearning machine-learning
Language:Jupyter Notebook 98
xuyxu / Soft-Decision-Tree
PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
classification-trees decision-tree deep-learning pytorch tree
Language:Python 97
ml_code
zlxy9892 / ml_code
A repository for recording the machine learning code
machine-learning deep-learning artificial-intelligence tensorflow sklearn scikit-learn keras nlp mnist cv knn svd logistic-regression decision-tree bayesian neural-network apriori clustering k-means pca
Language:Python 96
richardstartin / multi-matcher
simple rules engine
classification classifier decision-table decision-tree
Language:Java 92
bkrai / Top-10-Machine-Learning-Methods-With-R
Includes top ten must know machine learning methods with R.
machine-learning market-basket-analysis cluster-analysis decision-tree extreme-gradient-boosting k-nearest-neighbor-classifier logistic-regression naive-bayes-classifier pca-analysis random-forest
75
textgain / grasp
Essential NLP & ML, short & fast pure Python code
machine-learning natural-language-processing explainable-ai perceptron naive-bayes decision-tree k-nearest-neighbors tokenizer part-of-speech-tagger sentiment-analysis google-api twitter-api wikipedia-api document-object-model css-selectors wsgi-server graph graph-visualization chatgpt-api bert-fine-tuning
Language:Python 69
asafschers / scoruby
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
Language:Ruby 68
appleyuchi / Decision_Tree_Prune
Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning algorithms,all are implemented with Python(sklearn-decision-tree-prune included,All are finished).
decision-tree decision-tree-classifier prune quinlan
Language:C 67
hmohebbi / SentimentAnalysis
(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
bert sentimentanalysis embeddings svm cnn word2vec bow tf-idf random-forest lstm decision-tree tensorflow-hub
Language:Jupyter Notebook 66
ThinamXx / Fastai
I will implement Fastai in each projects present in this repository.
fastai deeplearning pytorch classification regression loss-functions image-classification decision-tree transformers-models
Language:Jupyter Notebook 64
serengil / decision-trees-for-ml
Building Decision Trees From Scratch In Python
decision-tree gradient-boosting gradient-boosting-machine boosting bagging id3 c45 cart regression-trees lightgbm xgboost random-forest machine-learning gbm adaboost
Language:Jupyter Notebook 62
nursnaaz / 25DaysInMachineLearning
I will update this repository to learn Machine learning with python with statistics content and materials
python machine-learning machine-learning-algorithms machinelearning machinelearning-python statistics data-science modelling python3 data-preprocessing practise descriptive-statistics bias linear-regression decision-tree numpy covariance logistic-regression random-forest bagging
Language:Jupyter Notebook 58

decision-tree

Jack-Cherish / Machine-Learning

mljar / mljar-supervised

benedekrozemberczki / awesome-decision-tree-papers

igrigorik / decisiontree

benedekrozemberczki / awesome-gradient-boosting-papers

mbeyeler / opencv-machine-learning

jphall663 / interpretable_machine_learning_with_python

Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning

seung-lab / connected-components-3d

JuliaAI / DecisionTree.jl

lagodiuk / decision-tree-js

microsoft / Forge

milaan9 / Python_Decision_Tree_and_Random_Forest

sanity / quickml

fengyang95 / tiny_ml

harunurrashid97 / 100-Days-Of-ML-Code

Evovest / EvoTrees.jl

luokn / ml

oguzeroglu / Ego

STMicroelectronics / STMems_Machine_Learning_Core

poloclub / timbertrek

kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

SravB / Algorithmic-Trading

TatevKaren / data-science-popular-algorithms

Wasim37 / machine_learning_code

xuyxu / Soft-Decision-Tree

zlxy9892 / ml_code

richardstartin / multi-matcher

bkrai / Top-10-Machine-Learning-Methods-With-R

textgain / grasp

asafschers / scoruby

appleyuchi / Decision_Tree_Prune

hmohebbi / SentimentAnalysis

ThinamXx / Fastai

serengil / decision-trees-for-ml

nursnaaz / 25DaysInMachineLearning