StockPricePrediction-master

Python机器学习及实践，第二章到第四章源码(Python machine learning and Practice)

bigdata hive use for hadoop

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：  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.)

一个用python实现的PCA算法，并且给了简易素材(A PCA algorithm implemented in python, and gave a simple material)

说明：  粒子群优化SVM参数 遗传算法优化SVM参数(Particle Swarm Optimization of SVM Parameters)

spring boot 和spark嵌套的demo(spring boot join with spark)

说明：  在Weka平台运行的ID3算法，对普通的ID3算法做了一点改进，有四个不同的改进，对应了四个不同的算法，适合实验报告和课程报告。直接可以运行，无需调试。(The ID3 algorithm running on the Weka platform has made a little improvement on the ordinary ID3 algorithm. There are four different improvements, corresponding to four different algorithms, which are suitable for experiment reports and course reports. It can run directly without debugging.)

低秩表达程序，MATLAB. Robust Subspace Segmentation by Low-Rank Representation(Low-Rank Representation program, MATLAB Robust Subspace Segmentation by Low-Rank Representation)

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