决策树分类（ID3，C4.5，CART）
☆492Sep 13, 2023Updated 3 years ago
Alternatives and similar repositories for Decision_tree-python
Users that are interested in Decision_tree-python are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 本程序实现决策树的建立与可视化，以及决策树的预剪枝与后剪枝，数据集为西瓜书4.2、4.3节中的西瓜数据集☆38Sep 6, 2019Updated 7 years ago
- 基于kaggle上Titanic数据集实现的ID3、C4.5、CART和CART剪枝算法☆41Mar 9, 2019Updated 7 years ago
- 《机器学习》周志华（西瓜书）的决策树，实现了决策树的构建、可视化及预测。☆13Apr 19, 2021Updated 5 years ago
- 高效决策树算法系列笔记☆230May 23, 2019Updated 7 years ago
- 通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯☆736Oct 22, 2019Updated 6 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- 决策树、随机森林☆50Nov 25, 2018Updated 7 years ago
- 感知器、贝叶斯分类、决策树分类、K最近邻法、逻辑回归、支持向量机...☆131Sep 8, 2014Updated 12 years ago
- 随机森林，Random Forest（RF）☆443Mar 8, 2020Updated 6 years ago
- 逻辑回归的基本原理☆10Dec 19, 2017Updated 8 years ago
- 【Numpy 手写实现】SVM 支持向量机 | KNN K近邻 | Kmeans | Logistic Regression 逻辑回归 | Maximum Entropy 最大熵 | Naive Bayes 朴素贝叶斯 | Perception 感知机 | Decision…☆218Mar 29, 2020Updated 6 years ago
- 本项目为时间序列预测项目，主要重点在于对预测项目整体流程的梳理总结，不同框架下如何进行简单数据处理和模型搭建。因此项目中搭建的主要为一些常用模型（后续会不断修改完善）。模型包含了prophet模型、keras库的bp神经网络和lstm网络模型、pytorch …☆26Apr 6, 2023Updated 3 years ago
- 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☆10,399Jul 12, 2024Updated 2 years ago
- Multilayer recursive feature elimination based on embedded genetic algorithm for cancer classification☆15Nov 25, 2018Updated 7 years ago
- 使用决策树进行客户流失预测分析☆12Jan 17, 2018Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 机器学习决策树ID3算法的Python实现☆11Mar 19, 2020Updated 6 years ago
- 基于python的PCA人脸识别算法☆68May 2, 2018Updated 8 years ago
- A collection of research papers on decision, classification and regression trees with implementations.☆2,475Dec 28, 2025Updated 9 months ago
- A Causal Decision Tree algorithm for causality inference with continuous variables☆23Jan 15, 2021Updated 5 years ago
- python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification ar…☆736Jun 15, 2019Updated 7 years ago
- ☆16Nov 3, 2022Updated 3 years ago
- Mid price estimation in LOB using Markov model☆13May 11, 2022Updated 4 years ago
- learning robust rewards with adversarial inverse reinforcement learning☆14Sep 13, 2020Updated 6 years ago
- 用python实现SVM/AdaBoost/C4.5/CART/Naïve Bayes等数据挖掘领域十大经典算法☆79Mar 6, 2018Updated 8 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- 用python和sklearn两种方法实现李航《统计学习方法》中的算法☆338Jul 3, 2018Updated 8 years ago
- 一文彻底搞懂BP算法：原理推导+数据演示+项目实战☆204Jul 2, 2019Updated 7 years ago
- MachineLearning-DecisionTree Algorithm realized by C++☆23Apr 27, 2019Updated 7 years ago
- C4.5 Algorithm - A Decision Tree for Numerical and Categorical Data that can Handle Missing Values and Pruning Methods☆24Apr 24, 2022Updated 4 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆34Jul 18, 2025Updated last year
- NUAA 2018 数据结构八次上机实验和课程设计☆24Jan 11, 2019Updated 7 years ago
- 使用sklearn做特征工程☆176Jul 19, 2018Updated 8 years ago
- Trilingual clustering tutorial with Mermaid diagrams, comparison tables, and Python 3.9+ runnable demos for K-Means++, Fuzzy C-Means, Hie…☆395Mar 26, 2026Updated 6 months ago
- 2023年高教社杯全国大学生数学建模竞赛C题：蔬菜类商品的自动定价与补货决策☆14Nov 26, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 逻辑回归预测违约可能☆34Aug 6, 2017Updated 9 years ago
- 编译原理(龙书)相关算法的实现☆15Jan 4, 2024Updated 2 years ago
- 记录小润了解的各种机器学习算法的实现以及基础概念，包括有监督学习，无监督学习，分类，聚类，回归；神经元模型，多层感知器，BP算法；损失函数，激活函数，梯度下降法；全连接网络、卷积神经网络、递归神经网络；训练集，测试集，交叉验证，欠拟合，过拟合；数据规范化等☆161Oct 14, 2016Updated 9 years ago
- It is a collection of all kinds of feature extraction and recognition algorithms☆12Jan 7, 2015Updated 11 years ago
- ☆10Mar 31, 2023Updated 3 years ago
- 「城语」APP基于A级景区、历史古迹、文物保护单位等基础数据，利用先进的大模型能力实现智能化的Citywalk 路线规划，包括设计一条路线、生成路线攻略、生成景点的推荐理由等三大核心功能；利用大模型减少了人工编辑和推荐的工作量，并可以根据游客的需求进行个性化定制，提升了游客…☆19Feb 20, 2024Updated 2 years ago
- ☆21Sep 21, 2020Updated 6 years ago