decision-tree · GitHub Topics

Jack-Cherish / Machine-Learning

#计算机科学#⚡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 机器学习 Python navie-bayes-algorithm decision-tree regression

Python 9.43 k

8 个月前

mljar / mljar-supervised

#计算机科学#Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

翻译 - 通过特征工程和超参数调整来自动化机器学习管道：火箭：

automl 机器学习 mljar 数据科学 scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest 神经网络 lightgbm catboost ensemble decision-tree automated-machine-learning

Python 3.12 k

2 个月前

benedekrozemberczki / awesome-decision-tree-papers

#计算机科学#A collection of research papers on decision, classification and regression trees with implementations.

翻译 - 有关决策，分类和回归树及其实现的研究论文的集合。

decision-tree decision-tree-classifier gradient-boosting gradient-boosting-machine regression-tree cart 机器学习 machine-learning-research random-forest xgboost lightgbm catboost classification-model classifier ensemble-learning statistical-learning

Python 2.39 k

1 年前

igrigorik / decisiontree

#计算机科学#ID3-based implementation of the ML Decision Tree algorithm

翻译 - 基于ID3的ML决策树算法的实现

rubyml decision-tree Ruby 机器学习

Ruby 1.44 k

6 年前

benedekrozemberczki / awesome-gradient-boosting-papers

#计算机科学#A curated list of gradient boosting research papers with implementations.

gradient-boosting gradient-boosting-machine gradient-boosted-trees xgboost catboost lightgbm random-forest decision-tree classification-algorithm 机器学习深度学习 h2o classifier adaboost

Python 1.01 k

1 年前

mbeyeler / opencv-machine-learning

#计算机科学#M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

机器学习 OpenCV Jupyter Notebook conda-environment Python decision-tree support-vector-machine

Jupyter Notebook 804

2 年前

jphall663 / interpretable_machine_learning_with_python

#计算机科学#Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

机器学习 Python xai gradient-boosting-machine decision-tree 数据科学 fairness interpretable-machine-learning interpretability machine-learning-interpretability transparency data-mining interpretable-ml interpretable-ai lime h2o

Jupyter Notebook 672

9 个月前

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

#计算机科学#Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

机器学习 random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization kmeans intrusion-detection intrusion-detection-system autonomous-vehicles cyber-security network-security stacking catboost ensemble-learning lightgbm

Jupyter Notebook 474

1 年前

seung-lab / connected-components-3d

#算法刷题#Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)

Python NumPy biomedical-image-processing C++图像处理 cython 3D decision-tree 2d 算法

C++ 403

21 天前

JuliaAI / DecisionTree.jl

#计算机科学#Julia implementation of Decision Tree (CART) and Random Forest algorithms

Julia 语言机器学习 decision-tree classification regression

Julia 356

5 个月前

microsoft / Forge

A Generic Low-Code Framework Built on a Config-Driven Tree Walker

低代码 decision-tree workflow-engine configuration roslyn dynamic ui Minecraft Forge Microsoft stateful async C#generic netstandard20

C# 295

1 年前

lagodiuk / decision-tree-js

#计算机科学#Small JavaScript implementation of ID3 Decision tree

decision-tree random-forest 机器学习

JavaScript 281

7 年前

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...

decision-tree decision-tree-classifier random-forest graphviz

Jupyter Notebook 260

2 年前

sanity / quickml

#计算机科学#A fast and easy to use decision tree learner in java

Java 机器学习 decision-tree random-forest

Java 232

3 年前

fengyang95 / tiny_ml

#计算机科学#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

Python NumPy svm lr ensemble 机器学习 clustering decision-tree gbdt regression classification

Python 229

5 年前

harunurrashid97 / 100-Days-Of-ML-Code

#计算机科学#A day to day plan for this challenge. Covers both theoritical and practical aspects

机器学习 Python eda datascience 教程 siraj-raval-challenge infographics implementation exploratory-data-analysis 数据科学 data-preprocessing decision-tree linear-regression article

Jupyter Notebook 227

2 年前

Evovest / EvoTrees.jl

#计算机科学#Boosted trees in Julia

机器学习 Julia 语言 gradient-boosting gbrt decision-tree regression logistic

Julia 185

12 天前

luokn / ml

#算法刷题#经典机器学习算法的极简实现

机器学习 Python NumPy 算法 adaboost kmeans knn lda log logistic-regression naive-bayes pca svm decision-tree

Python 182

4 个月前

STMicroelectronics / STMems_Machine_Learning_Core

#计算机科学#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...

stmicroelectronics 机器学习 decision-tree

C 180

4 个月前

oguzeroglu / Ego

A lightweight decision making library for game AI.

game-ai 游戏引擎 state-machine decision-tree decision-making JavaScript webgl Three.js

JavaScript 173

4 年前