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svm
- 支持向量机python实现算法，回归、分类、预测-surpport vector machion
svm_python
- 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。本程序是SVM的python实现，用的是SMO算法。只能进行分类，并且能够显示图形结果。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually use
svm
- 最经典的机器学习方法svm分类器的python实现-The most classic machine learning svm classifier python realization
SVM-timeseries
- 基于SVM的时序序列预测，用python实现，内附测试数据，方便可用。-SVM prediction based on a timing sequence with python to achieve, enclosing the test data to facilitate available.
svm_series
- 用python实现的SVM回归预测的程序，通过Anaconda实现对机器学习包sklearn的调用。-SVM regression using python to achieve predictable procedures, machine learning package sklearn call by Anaconda.
svm
- 该代码实现了经典的SVM支持向量机算法，Python语言编写，产生结果图。(This code implements the classic SVM support vector machine algorithm, Python language, and produces the result graph.)
ml_homework_1
- 此代码使用python中的sklearn实现了对uci中spambase垃圾邮件数据集的分类(This code uses sklearn in Python to realize the classification of spam dataset in UCI)