资源列表
Bayes
- 本程序是使用的Python写的一个Bayes分类器，通过这个程序可以大致掌握Bayes的原理。-This procedure is used to write a Python Bayes classifier, through this program can be broadly master the principles of Bayes.
DecisionTree
- 本程序是利用python写的一个决策树算法，通过该例子可以实现简单的决策树处理，也可以学习决策树算法的基本思想。-This procedure is to use python to write a decision tree algorithm, this example can be achieved by a simple decision tree processing, you can also learn the basic idea of the decision tree alg
K-means
- 本程序是用python写的一个K均值算法，通过该算法可以学习一python实现算法的流程，以及学习该算法的使用。-The program is written in python a K-means algorithm, the algorithm can learn a python algorithm implementation processes, and learning to use the algorithm.
KNN-implement-by-python
- 该程序是用python编写一个K近邻算法，通过该例子可以掌握K近邻算法，是学习数据挖掘的一个高效的算法。-The program is written in python a K-nearest neighbor algorithm, this example can grasp the K-nearest neighbor algorithm, a learning data mining and efficient algorithms.
upload
- genetic algorithm for optimization and bee colony algorithm accompanied by fuzzy c means clustering .
baseflight-master
- 用python语言实现了常用的概率算法，非常建议本科生在学习概率论的时候跑一跑这些算法，养成贝叶斯思维-Using python language commonly used probabilistic algorithms, highly recommended undergraduate study in probability theory, when these algorithms run a race, to develop Bayesian thinking
Moving-Average-Strategy
- 利用均线策略进行股票交易，程序为回测的结果-The use of average strategy for stock trading, the program in return for the result of the test
Sphere-Cover-Classifier-master
- 用matlab编程实现随机球覆盖集成分类器算法，首先在UCI数据集上得到很好的结果，然后在6个基因表达数据集通过一个案例说明。-Implement random ball cover integrated classifier algorithm using matlab programming, first get good results on UCI data set, and then in six gene expression data sets through a case des
R-programming
- R语言编程中文版书籍，较简单适合初学时看。-R programming
R-programming-language
- R语言统计软件介绍，较基础，适合初学者学习。-R programming
R-language-code
- R语言编程基础代码，初学者可以使用这个练练手。-R programming codes
R-language-packages
- R语言常用计量包，初学者可以使用这个查找自己要用的包。-R language package