Python数据预处理

通过Python对妹子图网站的图片集进行爬取(Crawling the collection of images on the sister map site via Python)

说明：  用于轴承大数据的故障诊断和数据挖掘，可将轴承的振动信息进行数组分析，获得预测模型，准确率较高(It can be used for fault diagnosis and data mining of bearing big data. It can analyze the vibration information of bearing by array and obtain the prediction model with high accuracy)

一种特征提取方法：结合主元分析(PCA)和核主元分析（KPCA）的前馈神经网络（FNN）(A feature extraction method: the feedforward neural network (FNN) combined with principal component analysis (PCA) and kernel principal component analysis (KPCA))

用于信号特征提取，提取信号的小波包能量谱(Extracting the wavelet packet energy spectrum of the signal)

一个833分酒问题的求解,C++编写,简单易读,输出最佳路径解,()

分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)

说明：  boxcox函数的python实现，引用该函数可将偏态分布调整为正态分布(Python implementation of box Cox function)

自动生成Excel表格，包括测量系统分析MSA GR&R--均值极差法 ,方差分析，均值极差(Automatic generation of Excel tables, including measurement system analysis MSA GR&R - mean extreme difference method, variance analysis, mean extreme difference)

用matlab 实现了kmeans算法还附有评价指标计算(Matlab to achieve kmeans algorithm also attached to the evaluation index calculation)

说明：  用来作分类识别的KNN算法,非常好用非常好用(A very useful nearest neighbor algorithm)