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naivebayes
- This naive bayes classification of documents-This is naive bayes classification of documents
naivebeys
- 朴素贝叶斯实现文本的正负趋向性分析，使用python编的，可以通过编绎，很方便。-Naive Bayes text of the positive and negative trend analysis, using python compiled by unravel, very convenient.
l2_bayes_classifier
- machine learning 方面有关于The Bayes Classifier的资料，语言是python-machine learning aspects have The Bayes Classifier information about language is python
Naive-Bayes
- 基本的朴素贝叶斯算法，使用python编写。执行效率一般。-The basic Bayesian algorithms, written using python. Efficiency in general.
bayes
- 用Python写的，基于概率论的分类方法，朴素贝叶斯分类器-Written in Python, based on probability theory classification, naive Bayes classifier
naive-bayes-with-python
- this python code implements naï ve bayes methods.
bayes_python
- 贝叶斯决策python学习代码，了解贝叶斯决策原理-bayes python code
NaiveBayes
- python实现的朴素贝叶斯分类器，以及垃圾邮件分类的一个应用，包括处理的数据- python implement Naive Bayes classifier, and an application spam classifications, including data processing
bayes
- 机器学习中的朴素贝叶斯算法，利用python实现的算法-The naive Bayesian algorithm in machine learning, using Python to achieve the algorithm
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.
AI-Naive
- 利用Python实现朴素贝叶斯分类方法。实现程序具有普适性，同时附带测试数据。可以直接运行。-Python implementations utilizing Naive Bayes classification. Achieve universal program has also included with the test data. It can be run directly.
textclassify.tar
- 简单的文本分类，用python实现了朴素贝叶斯和SVM-Simple text classification, realized with python Naive Bayes and SVM
python-code-for-Machine-learning
- 用于机器学习的全方位python代码，包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据：回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
Data-mining
- 5种Python数据挖掘算法：Bayes,Apriori,K-means,ID3,K-data mining of Python
Naive-Bayes
- Python实现朴素贝叶斯分类，即Naive Bayes Classifier（NB），数据集为pima-indians印第安人糖尿病数据集。-Python implementation naive Bayes classifier, i.e. Naive Bayes Classifier (NB), the data set is pima-indians Indians diabetes data sets.
bayes
- 基于概率论的分类方法 :朴素贝叶斯 学习朴素贝叶斯算法进行简单的二值分类(Classification method based on probability theory: Naive Bayes Learning naive Bayes algorithm for simple two valued classification)
bayes
- 自己书写的一段机器学习的朴素贝叶斯算法，基于Python实现(The Implementation of Bayes Algorithm in Python)
py_ex
- 利用朴素贝叶斯理论，将垃圾邮件的做分类，使用python代码，内涵邮件数据(Naive Bayes theory is used to classify spam, using Python code, and content mail data.)
machine_learning_python-master
- 通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。感知机的基本形式和对偶形式的实现 Kmeans和Kmeans++的实现 EM GMM高斯混合和GMM+LASSO的实现 实现朴素贝叶斯的基本算法和高斯混合朴素贝叶斯算法 实现决策树的基本算法 实现adaboost基本算法 实现svm基本算法 实现逻辑回归基本算法(By reading the data codes on the Internet, we can process oursel
贝叶斯分类
- 通过python进行编程，运用贝叶斯算法原理，对iris数据集进行分类(Classification of iris data sets by Bayes)