sfeng-m / tree-model
Tree model with detailed explanation
☆102Updated 4 years ago
Alternatives and similar repositories for tree-model:
Users that are interested in tree-model are comparing it to the libraries listed below
- ☆498Updated last year
- 随机森林,Random Forest(RF)☆396Updated 5 years ago
- Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)☆403Updated 4 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…☆204Updated 4 years ago
- Codes for time series forecast☆146Updated 4 years ago
- python实现的随机森林☆94Updated 2 years ago
- 深度学习代码☆132Updated 5 years ago
- 机器学习集成模型之Stacking各类模型及工具源码☆116Updated 4 years ago
- ☆415Updated 4 years ago
- 用Python实现SVM多分类器☆389Updated 10 months ago
- Sklearn机器学习中的主要算法原理以及实现(线性回归、逻辑回归、朴素贝叶斯、K-Means聚类、KNN、PCA主成分分析、BP神经网络)☆82Updated 4 years ago
- feature selections and extractions☆89Updated 9 months ago
- 集成学习Stacking方法详解☆72Updated 5 years ago
- 决策树分类(ID3,C4.5,CART)☆478Updated last year
- 包括决策树和随机森林进行离职人员预测,Xgboost和lightGBM的应用☆283Updated 4 years ago
- WeChat Official Accounts, zhihu and CSDN'blog code☆262Updated 4 years ago
- ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html☆232Updated 2 years ago
- Learning and Recording☆34Updated 5 years ago
- 机器学习(Machine Learning, ML)python简洁实现,包括混合高斯模型,KMeans,决策树,随机森林,K近邻,线性判别分析,逻辑斯蒂回归(梯度下降法,牛顿法),多层感知机(分类+回归),Naive Bayes(离散+高斯),多分类SVM,线性回归,隐马…☆141Updated 3 years ago
- 常用机器学习算法的简单手写实现,帮助更好理解算法☆71Updated 2 years ago
- K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan☆363Updated last year
- 支持向量机的python实现☆46Updated 9 years ago
- bp 神经网络算法☆121Updated last year
- Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题,个人解答。各算法都拿numpy和pandas实现了一遍☆1,534Updated 2 years ago
- ☆25Updated 3 years ago
- 数据预处理过程(属性选择, 异常值处理, 归一化, 标准化等)☆62Updated 4 years ago
- 个人练习,自编码器及其变形(理论+实践)☆336Updated 5 years ago
- Machine Learning in Action学习笔记,一个文件夹代表一个算法,每个文件夹包含算法所需的数据集、源码和图片,图片放在pic文件夹中,数据集放在在Data文件夹内。书中的代码是python2的,有不少错误,这里代码是我用python3写的,且都能直接运行☆206Updated 6 years ago
- 基于SVM的简单机器学习分类,可以使用svm, knn, 朴素贝叶斯,决策树四种机器学习方法进行分类☆113Updated 2 years ago
- 自动编码器及降噪自动编码器☆15Updated 5 years ago