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nb
- naive bayes algorithm
Naive-Bayesian-Data-Classification
- 数据挖掘基于朴素贝叶斯分类算法实现 该类是训练集的类-Data mining based Bayesian classification algorithm to achieve
4
- string 类实现，各类函数功能的实现，增删改查以及字符串运算-Implement Your Own String Class Using Naive String Matching Algorithm：Students successfully completing this assignment would master the following outcomes. • Understand the string storage and operations
Bayes-classifier-code
- 朴素贝叶斯分类器程序代码 采用朴素贝叶斯分类器算法，使用C++语言对英文文本进行分类，实现了一个文本分类器功能-Naive Bayesian classifier program code using Bayesian classification algorithm, using C++ language English text classification, to achieve a text classification function
Naive-Bayes-Text-Classification
- 使用Python实现朴素贝叶斯分类，文件夹中附带数据集。实现了NB算法，并进行5倍交叉验证-Naive Bayes classifier using the Python implementation, the folder with the data set. NB implements the algorithm, and 5-fold cross-validation
guess_number
- haskell实现的经典的猜数字游戏，猜一个四位数字，每猜一次数字返回A*B*表示猜中的数字和位置猜中的数字，本算法保证不超过8次，且不利用任何的筛选机制（意味着内存消耗几乎为0），经本机测试，猜出0123到9876（四位数字不相同），naive算法的时间最快为10到20分钟，此算法采用数学计算，只需0.5秒，恩，函数式语言设计，恩，就是你想找的。-haskell achieve classic guessing game, guess a four-digit number, each dig
MachLearn_ml
- MachLearn:已经实现了朴素贝叶斯分类器、决策树、支持向量机算法。在Linux上可成功编译-MachLearn: has achieved a naive Bayes classifier, decision trees, support vector machine algorithm. Successfully compile on Linux
NaiveBayesian
- 使用Python语言写的经典朴素贝叶斯算法的实现，完全能够应对算法设计课程的课程设计的代码需要-Implemented using Python language written in classic Naive Bayes algorithm, fully able to cope with the algorithm design course curriculum design code requires
Main
- 朴素贝叶斯算法的代码实现，能够实现对数据的自相关，互协方差等统计方面特征的数学分析-Code naive Bayes algorithm implementation can be achieved for autocorrelation of the data, mathematical analysis statistical characteristics of the cross-covariance, etc.
naive_bayes
- 朴素贝叶斯算法的程序，不知有用否，不记得是从哪里下载到的了(naive bayes algorithm is a machine learning technique, which is used for classification.)
bayes
- 朴素贝叶斯算法解决分类问题（二分类）的matlab代码(Naive Bayes algorithm to solve classification problems (two categories) of matlab code)
myBayes
- 这个是本人自己写的朴素贝叶斯算法，参考书籍为《机器学习实战》。(This is my own written naive Bayesian algorithm, reference books for the "machine learning combat.")
algorithm
- In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence assumptions between the features. Naive Bayes has been studied extensively since the 19
naiveBayesian2
- 数据挖掘十大算法之一，朴素贝叶斯算法的实现(One of the ten data mining algorithms and the naive Bayesian algorithm)