Advanced_Python_programming

说明：  knn手写数字识别，tensorflow教程(Knn Handwritten Number Recognition)

pythonweb数据聚类

python显示获得google地图文件及路径规划(python show google maps obtained documents and path planning)

说明：  python3.7实现SGBM算法实现立体匹配计算视差图(Python3.7 implements SGBM algorithm to realize stereo matching and calculate parallax graph)

Facebook messenger bot in python

说明：  这是一篇英文的关于强化学习的入门书籍，篇幅较短易于学习(Is an introductory book on reinforcement learning)

说明：  该工具是对非线性问题进行求解的，可通过MATLAB，Python等语言进行实现(The tool is used to solve nonlinear problems, which can be realized by matlab,python and other languages.)

第1章　赋予计算机学习数据的能力 1.1　构建智能机器将数据转化为知识 1.2　机器学习的三种不同方法 1.2.1　通过监督学习对未来事件进行预测 1.2.2　通过强化学习解决交互式问题 1.2.3　通过无监督学习发现数据本身潜在的结构 1.2.4　基本术语及符号介绍 1.3　构建机器学习系统的蓝图(Chapter 1 Enables Computers to Learn Data 1.1 Building Intelligent Machines to Transform Data into Knowledge 1.2 Three Different Methods of Machine Learning 1.2.1 Prediction of future events through supervised learning 1.2.2 Solving Interactive Problems through Reinforcement Learning 1.2.3 Discovering the Potential Structure of Data by Unsupervised Learning 1.2.4 Introduction of Basic Terminology and Symbols 1.3 Blueprint for Building Machine Learning System)

说明：  PSO代码，python实现，可直接调用，无bug(Python version of PSO algorithm)

机器学习算法，预测数值型回归，岭回归和逐步线性回归(Machine learning algorithms to predict numerical regression, ridge regression and stepwise linear regression)