decision-tree
There are 1752 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
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
benedekrozemberczki/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
igrigorik/decisiontree
ID3-based implementation of the ML Decision Tree algorithm
benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
mbeyeler/opencv-machine-learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
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.
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..)
JuliaAI/DecisionTree.jl
Julia implementation of Decision Tree (CART) and Random Forest algorithms
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)
lagodiuk/decision-tree-js
Small JavaScript implementation of ID3 Decision tree
microsoft/Forge
A Generic Low-Code Framework Built on a Config-Driven Tree Walker
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.
sanity/quickml
A fast and easy to use decision tree learner in java
harunurrashid97/100-Days-Of-ML-Code
A day to day plan for this challenge. Covers both theoritical and practical aspects
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
Evovest/EvoTrees.jl
Boosted trees in Julia
oguzeroglu/Ego
A lightweight decision making library for game AI.
luokn/ml
经典机器学习算法的极简实现
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
poloclub/timbertrek
Explore and compare 1K+ accurate decision trees in your browser!
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
SravB/Algorithmic-Trading
Algorithmic trading using machine learning.
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.
Wasim37/machine_learning_code
机器学习与深度学习算法示例
zlxy9892/ml_code
A repository for recording the machine learning code
xuyxu/Soft-Decision-Tree
PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
richardstartin/multi-matcher
simple rules engine
bkrai/Top-10-Machine-Learning-Methods-With-R
Includes top ten must know machine learning methods with R.
asafschers/scoruby
Ruby Scoring API for PMML
textgain/grasp
Essential NLP & ML, short & fast pure Python code
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).
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
ThinamXx/Fastai
I will implement Fastai in each projects present in this repository.
serengil/decision-trees-for-ml
Building Decision Trees From Scratch In Python
nursnaaz/25DaysInMachineLearning
I will update this repository to learn Machine learning with python with statistics content and materials