搜索资源列表
boosting
- R语言解决机器学习中关于AdaBoosting算法的代码。-about the AdaBoosting in machine learning, using R language
perception
- 用R语言进行机器学习中关于简单分类以及perception分类的代码。-some code about the easy classify and perception training in machine learning, using R.
xgboost_0.4-3
- 机器学习速度快效果好的R语言boosting模型包。-Machine learning speed boosting effect of a good R language model package.
RTextToolsExample
- 机器学习 R语言 对于多组Text类型数据进行训练和测试源码，用于鉴别是否是垃圾邮件。仅需要修改当前数据集的路径名称和label.csv的路径名称.-R for language learning machine multiple sets of Text data type training and testing source code used to identify whether it is spam. Only need to modify the current data set
code
- 机器学习 R语言对与数据进行分类，包括决策树，SVM，贝叶斯，percepttron等算法。需要注意之前要安装相应的R工具包。具体工具包名称百度一下就能容易获取。-R for language and machine learning to classify data, including decision trees, SVM, Bayesian, percepttron algorithm. To install the appropriate R toolkit before need t
machineLearning_R
- 机器学习入门很好的代码，以电子商务案例进行实践，使用R语言实现-Getting good code machine learning, e-commerce case to practice using the R language
examples
- R 语言的一些基本的例子和机器学习的例子-Some basic examples of R language and examples of machine learning
ML-Navie-Baye
- 相关机器学习，ML-Naive，R语言学习。-Related to machine learning, ML-Naive, R language learning.
EM_code
- 机器学习中EM算法的R语言实现，实测可用-EM Algorithm R language, found Available
常见的机器学习方法（R语言）
- 常见的机器学习方法，R代码，并附有详细的代码说明(Common machine learning methods, R code, and with detailed code descr iption)
高风代码
- 本内容是有关机器学习的包含贝叶斯分类器，随机森林，支持向量机，神经网络，logistic多元回归等(The contents of this paper are machine learning, including Bayesian classifier, random forest, support vector machines, neural network, logistic multiple regression and so on)
Package'kernlab'使用说明文档2012版
- R语言中的kernlab包使用说明手册，kernlab是R语言中一个常用的机器学习包，为基于核函数的学习方法提供了一个灵活的框架(The kernlab package instruction manual in R language. Kernlab is a commonly used machine learning package in R language. It provides a flexible framework for kernel based learning metho
机器学习与R语言（machine_learning）
- 机器学习与R语言（machine_learning）源代码下载，内含R语言实现机器学习算法和应用案例(Machine learning and R language (machine_learning) source code download, containing R language to implement machine learning algorithms and application cases)
机器学习与R语言
- 通过对本文件的学习，能够对机器语言的了解，r语言的了解(Machine knowledge and R language)
R机器学习
- 逻辑回归, GBM, knn, XGB的实现(Logistic regression, GBM, knn, XGB)
R_codes
- 该文档中包含大量代码，首先是一些R语言基本语法练习的，然后是一些机器学习相关的，最后是一些评分卡指标计算、建模相关的。(This document contains a lot of code, first some basic grammar exercises of R language, then some machine learning related, and finally some scorecard index calculation, modeling related.)