机器学习中决策树代码

【实例简介】 一个用Pygame搞的，比我上次上传的更好，并且有开始界面 玩法我就不多说了，可以上百度查

黑马程序员PPT

经典书籍，think python,第二版。(think python, second edition. written by Allen B. Downey.)

说明：  BP神经网络的代码，已写好，可直接使用，十分方便简洁(The code of BP neural network has been written)

说明：  图卷积神经网络，图神经网络的一种，通过提取特征来训练神经网络，实现网络嵌入(Graph Convolution Neural Network, a kind of Graph Neural Network, trains the Neural Network by extracting features to realize network embedding.)

说明：  Python 抓取 COM Port 未完成(Python Serach COM Port non Fininshed)

说明：  python c扩展编写例子，学习如何用c编写python的扩展应用(python c extension of the preparation of examples, learn how to prepare c expansion python application)

说明：  隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

用通达信接气接口来保存A股历史数据到Mysql数据库(using python Tdx to mysql)

学MaixPy之机器视觉，在MaixPy IDE开发环境，用Maix Dock K210开发板，实现动态识别色块，包括红、蓝、绿、黄四个色。