python3 TOPK算法求解

对数据进行优化，分类，例如GMM分类方法，KNN分类，支持向量机分类。(Optimize data, classification, such as GMM classification method, KNN classification, support vector machine classification)

machine learning 方面有关于Generalization and Bayesian Introduction的资料，语言是python(machine learning aspects of information concerning Generalization and Bayesian Introduction, language is python)

说明：  30个常用Python程序实现，包括冒泡算法之类(30 commonly used Python programs, including bubbling algorithms and the like)

用python实现的SVM回归预测的程序，通过Anaconda实现对机器学习包sklearn的调用。(SVM regression using python to achieve predictable procedures, machine learning package sklearn call by Anaconda.)

以slam为核心的python实现代码，包含可视化组件(some slam code with the python script)

文本数据预处理，包括分词，去停词，读取文件等操作(Word segmentation data preprocessing)

实现卷积lstm的代码，也是从网上找的，大家可以参考(The code to implement convolutional LSTM is also found on the internet. You can refer to it.)

说明：  675991+Keras图像深度学习实战.侯宜军%28带书签文字版%29(Keras Image Deep Learning Practical Combat. Hou Yijun%28 with Bookmark Text Version)

机器学习的线性回归Python实现，本人也初学，需要的可以看看！

说明：  Python-GUI编程(12.04)控件学习代码(Python-GUI Pyqt5 Python-GUI Pyqt5)