decision-trees · GitHub Topics

microsoft / LightGBM

#计算机科学#LightGBM是一个基于决策树算法的分布式梯度提升框架（GBT、GBDT、GBRT、GBM或MART），用于排名、分类和许多其他机器学习任务。

gbdt gbm 机器学习 data-mining distributed lightgbm gbrt Microsoft decision-trees gradient-boosting Python R parallel kaggle

C++ 17.02 k

2 天前

catboost / catboost

#计算机科学#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 computa...

翻译 - 快速，可扩展，高性能的“决策树加速梯度”库，用于对Python，R，Java，C ++进行排名，分类，回归和其他机器学习任务。支持在CPU和GPU上进行计算。

机器学习 decision-trees gradient-boosting gbm gbdt Python R kaggle gpu-computing catboost 教程 categorical-features gpu coreml 数据科学 big-data CUDA data-mining

C++ 8.29 k

16 小时前

biolab / orange3

#计算机科学#🍊 📊 💡 Orange: Interactive data analysis

翻译 - 🍊 📊 💡 Orange：交互式数据分析

data-mining 数据科学机器学习数据可视化 orange Python scikit-learn NumPy SciPy pandas decision-trees clustering 可视化 random-forest plotting classification regression visual-programming

Python 5.03 k

6 天前

greyhatguy007 / Machine-Learning-Specialization-Coursera

#计算机科学# 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 深度学习 linear-regression logistic-regression 机器学习 Python solutions supervised-machine-learning Tensorflow recommendation-system unsupervised-learning decision-trees 神经网络 mooc

Jupyter Notebook 4.83 k

5 个月前

susanli2016 / Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

linear-regression logistic-regression decision-trees random-forest svm knn-classification naive-bayes-classifier hierarchical-clustering pca lda

Jupyter Notebook 4.39 k

1 年前

tirthajyoti / Machine-Learning-with-Python

#计算机科学#Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Jupyter Notebook 3.17 k

2 年前

parrt / dtreeviz

#计算机科学#A python library for decision tree visualization and model interpretation.

机器学习 scikit-learn Python 数据科学 xgboost decision-trees 可视化 random-forest model-interpretation

Jupyter Notebook 3.02 k

6 天前

kk7nc / Text_Classification

#计算机科学#Text Classification Algorithms: A Survey

翻译 - 文本分类算法：调查

text-classification 自然语言处理 document-classification text-processing dimensionality-reduction rocchio-algorithm boosting-algorithms logistic-regression naive-bayes-classifier k-nearest-neighbours support-vector-machines decision-trees random-forest 深度学习深度神经网络 recurrent-neural-networks convolutional-neural-networks

Python 1.81 k

5 个月前

edyoda / data-science-complete-tutorial

#计算机科学#For extensive instructor led learning

机器学习 scikit-learn linear-regression nearest-neighbors feature-selection decision-trees NumPy pandas pipeline

Jupyter Notebook 1.81 k

2 年前

justmarkham / DAT8

#自然语言处理#General Assembly's 2015 Data Science course in Washington, DC

数据科学机器学习 scikit-learn 数据分析 pandas Jupyter Notebook Python course linear-regression logistic-regression naive-bayes 自然语言处理 decision-trees ensemble-learning clustering Regular expression web-scraping 数据可视化 data-cleaning

Jupyter Notebook 1.61 k

9 个月前

nivu / ai_all_resources

#计算机科学#A curated list of Best Artificial Intelligence Resources

机器学习 regression neural-networks Tensorflow 数据科学 decision-trees 深度学习数学人工智能 rnn Generative Adversarial Network reinforcement-learning convolutional-neural-networks support-vector-machine random-forest knn kmeans Python 统计

Jupyter Notebook 1.16 k

6 个月前

tensorflow / decision-forests

#计算机科学#A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

翻译 - 一组用于Keras中的决策林模型的训练，服务和解释的最新算法。

Python 机器学习 random-forest Tensorflow decision-trees gradient-boosting interpretability decision-forest Keras

Python 675

3 天前

alvinwan / neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

decision-trees neural-networks image-classification explainability cifar10 cifar100 interpretability imagenet pretrained-weights pretrained-models PyTorch

Python 616

2 年前

google / yggdrasil-decision-forests

#计算机科学#A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

C++命令行界面 Tensorflow 机器学习 decision-trees decision-forest random-forest gradient-boosting cart interpretability distributed-computing Go JavaScript pypi Python

C++ 537

12 小时前

mljar / supertree

Visualize decision trees in Python

decision-trees lightgbm random-forest xgboost

Python 481

9 天前

serengil / chefboost

#计算机科学#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 ...

decision-trees gradient-boosting gradient-boosting-machine random-forest adaboost id3 cart regression-tree gbm data-mining 数据科学 kaggle gbdt gbrt 机器学习 Python categorical-features

Python 471

4 个月前

dmitryikh / leaves

#计算机科学#pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

机器学习 lightgbm xgboost decision-trees Go

Go 437

8 个月前

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!