粗糙集

说明：  多种方法实现分位数回归,有完整原理解释，直接可用。(Multiple methods for quantile regression)

Python实现Adaboost算法，数据集为horseColic马疝气病数据集，准确率和sklearn库中的adaboost算法一样。(Python implementation adaboost algorithm, the data set is horseColic horse hernia disease data collection, accuracy and sklearn library adaboost the same algorithm.)

说明：  用python 做的网络数据爬虫，爬取淘宝数据，并分析。(Use Python to do the network data crawler, crawl the Taobao data, and analyze.)

强大的计算电磁场本征函数与本征模的程序,matlab版本(A powerful Program for calculating the Eigenfunction and Eigenmode of electromagnetic Field)

《从零开始学爬虫》的配套资料（PPT和源码）("Learning Reptiles from Zero" (PPT and Source))

1基于MapReduce的K-Means聚类算法， 2基于MapReduce的分类算法 3MapReduce的频繁项集挖掘算法(1 K-Means clustering algorithm based on MapReduce, 2 classification algorithm based on MapReduce 3 Mining Algorithm for frequent itemsets based on MapReduce)

说明：  多种基本分类训练，包括支持向量机，偏最小二乘，主成分分析和线性分析(A variety of basic classification training, including support vector machine, partial least squares, principal component analysis and linear analysis)

分而治之方法与软件设计的模块化方法非常相似,为了解决一个大的问题,可以： 1) 把它分成两个或多个更小的问题； 2) 分别(The divide-and-conquer approach is very similar to the modular approach to software design. To solve a big problem, you can: 1) divide it into two or more smaller problems; 2))

应用python编写的百度指数新闻爬取代码(baiduindex spider)

r语言中关联规则代码实现 运用arulesViz包和arules包中的apriori函数(Code Implementation of Association Rule)