SSTCA

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

一个xgboost实现的回归模型预测，数据集来源于kaggle的taxi竞赛(Regression model prediction based on a xgboost implementation)

基于P-Q分解法的快速潮流计算,可用于实际系统()

说明：  处理ipix官网下载的雷达原始数据，将方位角以及俯仰角进行处理(Processing radar raw data downloaded from IPIX official website)

Random Number Generators随机数生成包括gaussian random number gener(Random Number Generators random number generation includes gaussian random number gene)

说明：  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.)

求解矩阵的最大最小特征值及对应的特征向量,以及计算条件数()

包含很多知名算法实现，支持向量机，决策树，粗糙集，贝叶斯分类器等，适合学术研究，短评论意见挖掘，文本分类等。

一个833分酒问题的求解,C++编写,简单易读,输出最佳路径解,()

主要利用R语言进行广义加法模型，进行回归预测(This paper mainly uses R language to carry on the generalized additive model, and carries on the regression forecast)