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AdaBoost
- Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。-Adaboost is an iterative algorithm, the core idea is the same training set for training different classifiers (weak classifiers), then these weak classifiers together to f
SVM
- 在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, an
mlcompare
- Data Mining spam classification comparison
dataMIn
- Data Mining Retail Classification scr ipt
PR
- 基于随机游走的推荐算法，python实现。-Random walk based recommendation
machine-learning
- python3实现各种机器学习算法，包括knn算法，决策树算法，SVM算法，朴素贝叶斯算法等-Python3 realize all kinds of machine learning algorithms, including KNN algorithm, the decision tree algorithm, the SVM algorithm, naive bayesian algorithm, etc
apriori
- 经典Apriori算法的优化，并在商场消费者消费数据集上进行测试，挖掘频繁模式-Optimization of classical Apriori algorithm, and tested in store consumer data sets, frequent pattern mining
social-networks-mining
- 社会网络挖掘 随书配套代码下载，详尽，有效-Social Network Mining Codes matching with the book, detailed and effective
python-chengxu
- 关于python写的朴素贝叶斯分类，写的非常不错-Written python on Bayesian classifier This procedure is very good
python
- python爬虫,可以获取百度百科数据，自定义模板-python scrapt
prefixspan
- 经典序列模式挖掘算法prefixspan的python实现-Classic sequence pattern mining algorithm prefixspan
crawler
- python 爬虫爬取http://accent.gmu.edu/网站上的音频文件-Using python crawler to scape data the George Mason University Department of English Speech Accent Archive.
birch.tar
- birch python 修改，里面可能存在一些问题，但大体罗辑是对的-birch python modify
lda_perplexity
- 用训练出的模型测试词以及概率，并统计词数和计算困惑度-With the trained model test and the probability and statistics of words, words and perplexity calculation
online-perceptron
- Online perceptron Algorithm on spambase dataset.
CalcActivationCode
- 岩土数值模拟计算的程序，可以用来计算边坡、岩石稳定性。-Numerical simulation of geotechnical calculation program can be used to calculate the slope, rock stability.
pythonsrc
- 机器学习算法，包括主成分分析方法，奇异值分解，逻辑回归，最小二乘法线性回归，朴素贝叶斯-machine learning algorithm prototype including PCA, SVD, Logic Regression, LMS and Naive Bayes
emial-spam
- 基于感知器算法的垃圾邮件识别，先通过训练集训练出分类器，然后通过测试集验证-Perceptron based spam detection algorithm
recsys-challenge2015
- 本代码实现了 recsys challenge2015数据集分析的算法，对数据挖掘和推荐系统的学习很有帮助~！-This code implements recommend algorithm based on recsys challenge2015 data set , which definitly would helpful for studying Data mining and Recommendation system !just enjoy
NaiveBayes-master
- 对文本信息进行分类，训练和学习，利用朴素贝叶斯算法实现。-Text information on the classification, training and learning, with Naive Bayes algorithm.