GA_RBF_SVM

specgram画时频图.ipynb

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.)

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)

通过Selenium爬取知乎上面的妹子图(Spider For Girls On ZhiHu)

matlab数值积分工具箱 nit toolbox(Matlab numerical integration toolbox nit toolbox)

Python数据预处理示例，包括数据清洗、数据整合、数据变换等操作。(Python data preprocessing examples, including data cleaning, data integration, data transformation and other operations.)

Python 数据结构，英文版Python 数据结构，英文版Python 数据结构，英文版(Python data structure is introduced, the English versionPython data structure is introduced, the English versionPython data structure is introduced, the English versionPython data structure is introduced, the English version)

用Apriori算法挖掘出入侵检测数据集KDD99的数据关联性，从而检测出未知的攻击(Apriori algorithm is used to extract the data association of the intrusion detection data set KDD99, and the unknown attack is detected)

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

主要利用Python软件，利用KNN算法对垃圾邮件进行分类(This paper mainly uses Python software to classify spam mail by using KNN algorithm)