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dataming
- 介绍数据挖掘的10种主要算法及其应用 一种透过数理模式来分析企业内储存的大量资料，以找出不同的客户或市场划分，分析出消费者喜好和行为的方法。 -Top 10 algorithms in data mining his paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006:
classification
- 分类算法，包括KNN，SVM,Linear Regression, Naive Bayes四种-four algorithms of classification, includes KNN, SVM, Linear Regression, Naive Bayes
Text-classify
- 用朴素贝叶斯和支持向量机SVM的两种文本文类实验-Two text of this article class experiment with naive Bayes and support vector machines SVM
machine-learning-5
- 机器学习算法之SVM与朴素贝叶斯，经典的机器学习的外文资料，该资料描述详细，便于大家的学习。-Machine learning algorithms of SVM and Naive Bayes, classical machine learning foreign language information, the information described in detail, easy to learn from everyone.
stprtool_v2.12
- 统计模式识别工具箱(STPRTool 版本2.12 2013-09-12) 功能有线性判别函数、特征提取、密度估计和聚类、支持向量机、贝叶斯分类器、交叉验证等-Statistical Pattern Recognition Toolbox Methods: Fisher,PCA,GMM,K-means,SVM,Bayes classifier,Cross-validation,KNN,etc.
textclassify.tar
- 简单的文本分类，用python实现了朴素贝叶斯和SVM-Simple text classification, realized with python Naive Bayes and SVM
text_classification.tar
- 用python实现的问题分类算法，包括贝叶斯，svm,决策树，xgboost,对入门文本分类的同学有一定的帮助(text classification algrithom,include svm,dt,xgboost,bayes,that important to learner about text classification)