搜索资源列表
social-networks-mining
- 社会网络挖掘 随书配套代码下载，详尽，有效-Social Network Mining Codes matching with the book, detailed and effective
Data
- 《R统计与数据挖掘》一书中所有源码，可以直接编译- R statistics and data mining, a book all the source code, can be directly compiled
Kmeans
- 按照模式识别一书，实现k均值聚类的matlab版本代码-According to the book Pattern Recognition , implement k-means clustering matlab version of the code
DataMining_5
- java实现的决策树代码和随机森林以及Adaboost,里面有自带的数据集可以测试，结果和书上描述一样，亲测有效-DesicionTree，RandomForest and AdaBoost implemented by java,have been tested by myself.It can help those who want to learn data mining
hadoop-book-master
- 这个是hadoop权威指南的课后源码,包含书中的全部实例，方便大家学习-This is the authoritative guide to the after-school hadoop source, including all example in the book, it facilitates learning
maxminjulei
- 最大最小聚类算法改进，和书上的步骤完全一样，可以运行，简单-Maximum and minimum clustering algorithm improvements, and steps on the book exactly the same, it can run, simple
MachineLearnngInActionandsourceCode
- 机器学习实战及配套Python代码,很好的入门书。-Machine Learning in Action. Source eode and book
learning-data-mining-with-python
- 《python数据挖掘入门与实践》随书源代码，Chapter1-Chapter12.使用ipython notebook运行，包括社会媒体挖掘，作者归属，新闻语料分析，大数据处理等应用实例。-Python data mining entry and practice with the book source code, using Chapter1-Chapter12. IPython notebook operation, including social media mining, aut
《小白学SAS》书中配套程序
- SAS 学习初学者入门，经典程序汇编，包括数据操作，数据挖掘等操作(SAS learning beginner entry, classic program compilation, including data manipulation, data mining and other operations)
wiet97
- 生成随机数的算法,原书带的并不能直接使用,这是本人改的直接可用的()
Python数据分析与挖掘实战
- 本书共15章，分两个部分：基础篇、实战篇。基础篇介绍了数据挖掘的基本原理，实战篇介绍了一个个真实案例，通过对案例深入浅出的剖析，使读者在不知不觉中通过案例实践获得数据挖掘项目经验，同时快速领悟看似难懂的数据挖掘理论。读者在阅读过程中，应充分利用随书配套的案例建模数据，借助相关的数据挖掘建模工具，通过上机实验，以快速理解相关知识与理论。(There are 15 chapters in this book, which are divided into two parts: the basic c
pytorch从0到1随书代码
- pytorch从0到1随书代码，供广大网友学习交流