17.3开运算

机器学习-CART决策树代码。使用UCI上面的Adult数据集。(Machine learning- CART decision tree using adult database on UCI.)

说明：  利用python进行因子分析,因子分析可以进行降维!(Using Python factor analysis, factor analysis can reduce dimensionality!)

说明：  vgg16代码，最简单pytorch版本，容易看懂，易上手，按照论文敲的(Vgg16 code, the simplest version in pytorch, easy to understand, easy to start, according to the paper type)

机器学习实战 第7章实例代码 Machine Learning in　Action Charpter7 instance(Machine Learning in　Action Charpter7 instance)

cnn,一个简单的神经网络实现,仅需要python3以上版本，numpy,以及相关包，适合初学者

说明：  用PYTHON语言编写的学生成绩管理系统，供初学者参考(A student achievement management system written in PYTHON language for beginners reference)

密度峰值聚类算法python源码,生成decision graph和聚类结果图(Python code : Clustering by fast search and find of density peaks)

开启本地HTTP服务，并可以自定义端口，任意文件下载(Open the local HTTP service, and you can customize the port and download any file.)

基于opencv单目机标定的源代码，包含标定的图片，程序注释详细，很适合初学者。(Based on opencv monocular machine calibration source code, including the picture of the calibration, application notes in detail, very suitable for beginners. )

可以把论文从英文翻译到中文，方便论文的阅读(Translate a English paper to Chinese.)