0056764

基于密度的局部离群点检测，使用于当全部样本点的密度不一致的情况(Local outlier detection based on density)

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.)

动画演示多种排序算法,包括冒泡排序,选择排序,插入排序,快速排序等,()

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

聚类分析31省市的经济情况，以每个聚类簇的平均值来衡量省市经济的发展水平。(Cluster analysis of the economic situation of 31 provinces and municipalities, with the average value of each cluster to measure the level of economic development of provinces and municipalities.)

此为利用optics聚类方法剔除风电异常数据后，采用极限学习机验证的代码(optics data mining)

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)

包含了01背包和非01背包两个程序！是我一次作业完成的,可以参考一下！()

说明：  python PCA算法原理推导，及源代码实现，并基于PCA算法实现图片压缩，附pdf文件说明(Python PCA algorithm principle derivation, and source code implementation, and based on PCA algorithm to achieve image compression, with PDF file description)

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