ltlk4

利用python进行数据分析，英文书籍，从pandas库的数据分析工具开始利用高性能工具对数据进行加载、清理、转换、合并以及重塑；利用matpIotlib创建散点图以及静态或交互式的可视化结果；利用pandas的groupby功能对数据集进行切片、切块和汇总操作；处理各种各样的时间序列数据。(Starting from the data analysis tools of pandas database, high performance tools are used to load, clean, transform, merge and remodel data; scatter plots and static or interactive visualization results are created by matpIotlib; data sets are sliced, sliced and aggregated by pandas group by function; and various operations are processed. Time series data.)

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)

用EM算法求解高斯混合模型并可视化，数据是男女生的身高分布，前提是初始化男女生身高各自的均值和方差和比例，然后由EM算法求解，男女生身高的均值方差，以拟合数据。(The EM algorithm is used to solve the Gauss mixture model and visualize. The data is the height distribution of male and female. The premise is to initialize the mean, variance and proportion of the male and female height, then the mean variance of the height of male and female is solved by the EM algorithm, so as to fit the data.)

决策树与集成算法，用来分类已知数据种类，希望对编程有帮助(Decision tree and ensemble algorithm are used to classify known data types.)

该程序用于分类，用到的算法是Bagging and Knn 两种算法(This program is used for classification, the algorithm used is bagging and knn two algorithms)

Numerical Recipes Software 提供的算法子程序集,一共有上千种算法,部分算法可以在书店买到书()

数据挖掘中编写C语言程序数据预处理，读取文本文件中的数据，使用链表，并输出该组数据的按平均值、中值、边界值平滑的结果。若分箱时数据缺失则用最后的值复制代替，还要找出程序中的离群点，要求程序符合结构化程序设计风格，关键地方需加注释。完美实现！

说明：  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)

MonteCarlo仿真的C++源码,具有参考价值(C source code of MonteCarlo simulation, which has reference value)

用遗传算法优化支持向量回归机C、g、p参数(Optimization of C, G, P parameters of support vector regression machine by genetic algorithm)