Python estadisticas

利用改进k-means算法对客户进行分类，改进rfm模型(Using improved k-means algorithm to classify customers and improve RFM model)

Stochastic experimentation on array of structured derivatives. Also seeks to test the delta of unsegmented lerps.

覆盖了基本常用的机器学习算法。包括线性回归与分类算法；决策树；多种降维算法；优化算法；强化学习等多类算法的Python代码。(It covers the commonly used machine learning algorithms. Including linear regression and classification algorithm; decision tree; a variety of dimensionality reduction algorithm; optimization algorithm; reinforcement learning and other algorithms of Python code.)

【实例简介】 Python操作Sqlite表的实例，包括建表、插入数据、获取字段信息。

说明：  使用一维卷积神经网络处理序列数据，数据类型为一维(One dimensional convolution processing sequence data)

用Python实现了网页数据的抓取，网页动态图的浮现，字体颜色大小的改变，网页数据爬取，制作相关网页，用表格体现，并改变了表格的风格，(Python is used to capture web page data, the emergence of dynamic graph, the change of font size, the crawl of web page data, the production of relevant web pages, which are represented by tables, and the style of tables is changed.)

中科院的中文分词系统ICTCLAS是常用的分词软件  这个版本是2015版的

说明：  大规模对抗代码，有追逃，有需要的可以看看(Python code about Against. You can download if you need.)

tensorflow下用LSTM网络进行时间序列预测，实时多变量预测以及对于未来数据的单变量预测。

基于python3.6版本的２０４８算法开发(Development of 2048 algorithm based on python3.6)