资源列表
pachongtest2
- 运用python爬取知乎日报的内容，对知乎日报网页中的每一个子链接进行爬取，并对内容进行修改，运用re,urllib2,BeautifulSoup模块。-Use python to crawl the contents of daily news, to know every page in the daily sub-links to crawl, and to modify the content, the use of re, urllib2, BeautifulSoup module.
LogitMul
- 基于逻辑回归的多分类问题，可以实现至少三类数据的分类-Classification based on multiple logistic regression, classification can be achieved at least three types of data
R_Q2
- 先进行逐步回归，后对其残差进行sarima预测-First stepwise regression, after its prediction residuals sarima
EMKmeans
- 在线KMeans算法不同于一般的聚类，其主要算法为梯度下降法-Online KMeans Unlike clustering algorithm, the main gradient descent algorithm
data--mining
- 模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
SVM_regression_1001
- 一种可以择优选择参数的SVM拟合回归程序，通过for循环，可以调节参数，调出误差最小的参数设置。有时候，默认的参数也会有很不错的精度。-One can choose the best parameters of the SVM fitting regression procedures, through the for cycle, you can adjust the parameters, minimize the error of the parameter settings. Somet
xgboost
- xgboost算法源码，含基本示例（训练、建模、预测）。-Xgboost algorithm source code, including the basic examples (training, modeling, forecasting).
guanliandu
- 是计算关联度的软件，调试过，可以执行。对学习时间序列预测很有意义-Is to calculate correlation software, debugging, you can perform. Time series prediction is very meaningful to learn
bagging
- bagging算法的R语言实现，完整代码，运行速度较快-bagging algorithm R language, the complete code to run faster
kNN
- 使用python编写kNN算法，包括生成数据集，简单分类器，文本转换等简单算法。-Using python write kNN algorithms, including generating a data set, a simple classification, text conversion simple algorithm.
beautifulsoup4test1
- 爬取糗事百科，运用BeautifulSoup模块对爬取内容进行处理。-Crawling embarrassing encyclopedia, using BeautifulSoup module to crawl content processing.
violinplot
- 这是关于机器学习中的代码，通过绘制violinplot图来观察数据的分布变化等-It s about machine learning code, distribution changes by drawing violinplot plans to observational data, etc.