资源列表
rqpd_0.6
- 对数进行分位数回归分析，求得分位数回归方程参数。(The quantile regression analysis is performed on the logarithm to obtain the number of regression equations for the score.)
SMOTE
- 针对非平衡数据集中少数类数据过少的问题进行过采样，SMOTE算法采用人工合成稀有类的方法将非平衡数据变为平衡数据之后在用于数据挖掘(Over sampling techniques for minority data)
360563
- 本软件一共收录了355个TC2 0库函数,每一个函数都提供了相应的头文件,函数用途,函数全称,输入输出参数,函数的返回值,以()
TianChi_ijcai
- 根据过去一段时间的销售量，消费记录，预测商店的未来销售量(According to the sales volume and consumption record in the past period,Forecast the future sales volume of the store)
naivebayes
- 朴素贝叶斯分类算法的代码，可实现多案例使用(The code of the simple Bias classification algorithm can be used for multiple cases)
numpy基础
- Python 数据分析numpy库基础，方便大家学习。(Numpy Basic knowledge)
master
- 集体智慧编程源码，修改了部分小bug，更新了一些库的版本(Collective intelligence programming source code, modify part of the small bug, updated some of the library version.)
聚类
- 相似性划分，Q型聚类，是理想的多变量统计技术，主要有分层聚类法和迭代聚类法。 聚类分析也称群分析、点群分析，是研究分类的一种多元统计方法。(Similarity classification and Q clustering are ideal multivariate statistical techniques, including hierarchical clustering and iterative clustering. Cluster analysis, also known a
knn
- 模式识别中的k近邻算法，经过测试，运行结果很好。 最小距离分类器 : 它将各类训练样本划分成若干子类，并在 每个子类中确定代表点 。测试样本的类别则以其与这些代表点距离最近作决策。该方法的缺点是所选择的代表点并不一定能很好地代表各类，其后果将使错误率增加。(The k nearest neighbor algorithm in pattern recognition has been tested and the result is very good. Minimum distance c
temp
- 简单PYTHON小程序:包括赋值，循环，数据提取，ANN，MCMC, MH(very easy program,Including assignment, loop, data extraction, ANN, MCMC, MH)
MachineLearningLab-master
- 使用2种分类方法随机森林、SVM对数据进行分类(Classification of data using random forests and SVM)
apriori
- apriori算法，matlab，大数据挖掘(The libsvm used for handwritten digit recognition, data uci . You can go to uci datasets sites directly download semeion.data. The data can be called directly after putting into the folder.)