数据挖掘入门到精通_R语言(学途无忧)课程PPT和代码.zip

[{"title":"（24个子文件13.27MB）数据挖掘入门到精通_R语言(学途无忧)课程PPT和代码.zip","children":[{"title":"数据挖掘入门到精通_R语言(学途无忧)课程PPT和代码","children":[{"title":"第04课_基本图形的讲解和绘制","children":[{"title":"第4课、基本图形的讲解和绘制.R <span style='color:#111;'>992B</span>","children":null,"spread":false}],"spread":true},{"title":"第20课_支持向量机的实操","children":[{"title":"第20课、支持向量机的实操.R <span style='color:#111;'>2.48KB</span>","children":null,"spread":false},{"title":"letter-recognition.data <span style='color:#111;'>695.86KB</span>","children":null,"spread":false}],"spread":true},{"title":"第08课_ggpolt2实践","children":[{"title":"第七、八节课绘图包的代码.R <span style='color:#111;'>2.16KB</span>","children":null,"spread":false},{"title":"第七、八节课-绘图包的讲解和操作.ppt <span style='color:#111;'>2.51MB</span>","children":null,"spread":false}],"spread":true},{"title":"第05课_plyr包主函数讲解（PPT和第6课一样）","children":null,"spread":false},{"title":"第17课_人工神经网络实操1","children":[{"title":"第十七、十八节课代码.R <span style='color:#111;'>2.98KB</span>","children":null,"spread":false},{"title":"winequality-white.csv <span style='color:#111;'>258.23KB</span>","children":null,"spread":false}],"spread":true},{"title":"第03课_基本概念讲解（向量、矩阵、因子、数据框、列表）","children":[{"title":"第3课、基本概念讲解（向量、矩阵、因子、数据框、列表）.R <span style='color:#111;'>1.53KB</span>","children":null,"spread":false}],"spread":true},{"title":"第09课_reshape2包的讲解和实际操作","children":[{"title":"第九节课代码.R <span style='color:#111;'>2.62KB</span>","children":null,"spread":false},{"title":"reshape2.pdf <span style='color:#111;'>104.97KB</span>","children":null,"spread":false},{"title":"第9课、reshape2包的讲解和实际操作.ppt <span style='color:#111;'>221.50KB</span>","children":null,"spread":false}],"spread":true},{"title":"第11课_knn原理简介","children":[{"title":"第11课、knn原理简介.ppt <span style='color:#111;'>709.00KB</span>","children":null,"spread":false}],"spread":true},{"title":"第10课_缺失值处理","children":[{"title":"第10课、缺失值处理.ppt <span style='color:#111;'>123.50KB</span>","children":null,"spread":false},{"title":"代码.R <span style='color:#111;'>2.18KB</span>","children":null,"spread":false}],"spread":true},{"title":"第15课_人工神经网络的介绍1","children":[{"title":"第15课、人工神经网络的介绍1.ppt <span style='color:#111;'>4.83MB</span>","children":null,"spread":false}],"spread":true},{"title":"第12课_knn算法实际操作","children":[{"title":"knn算法代码.R <span style='color:#111;'>2.01KB</span>","children":null,"spread":false}],"spread":true},{"title":"第01课_数据挖掘、R语言概念介绍","children":[{"title":"readorwrite.R <span style='color:#111;'>1006B</span>","children":null,"spread":false},{"title":"第1课、数据挖掘、R语言概念介绍.ppt <span style='color:#111;'>2.01MB</span>","children":null,"spread":false}],"spread":true},{"title":"第02课_软件安装和数据的读、写、修改","children":[{"title":"第2课、软件安装和数据的读、写、修改.ppt <span style='color:#111;'>1.07MB</span>","children":null,"spread":false}],"spread":true},{"title":"第07课_ggpolt2介绍（PPT和第8课一样）","children":null,"spread":false},{"title":"第13课_决策树的理论讲解","children":[{"title":"第13课、决策树的理论讲解.pdf <span style='color:#111;'>1.40MB</span>","children":null,"spread":false}],"spread":false},{"title":"第18课_人工神经网络实操2（代码和第17课一样，无PPT）","children":null,"spread":false},{"title":"第16课_人工神经网络介绍2（和第15课PPT一样）","children":null,"spread":false},{"title":"第06课_plyr包辅助函数讲解","children":[{"title":"第5、6节课-plyr包的实操代码.R <span style='color:#111;'>1.16KB</span>","children":null,"spread":false},{"title":"第5、6课-plyr包的介绍和实际操作.ppt <span style='color:#111;'>256.00KB</span>","children":null,"spread":false}],"spread":false},{"title":"第19课_支持向量机原理介绍","children":[{"title":"第19课、支持向量机原理介绍.ppt <span style='color:#111;'>808.00KB</span>","children":null,"spread":false}],"spread":false},{"title":"第14课_决策树实操","children":[{"title":"第14课、决策树实操代码.R <span style='color:#111;'>1.48KB</span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":true}]