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classifer
- 二分类问题采用包括逻辑回归、最小二乘法、感知器算法（按下space不断迭代）、svm线性分类，另外还有高斯分线性分类（待完善），针对平面上两类点进行分类-Second classification using logistic regression, the method of least squares, perception algorithm (Press space iteratively) svm linear classif
mlclass-ex2-005
- 机器学习代码，线性回归逻辑回归，直接运行即可-linear regression
LogReg
- 逻辑回归实现线性分类器，文件中的readme.txt可以看到使用方法。 具体使用就是通过data.txt读入数据（默认2维数据，分为正反两类。）然后用matlab运行solve.m即可得到分类线、分类准确率。-a matlab source code for Logistic Regression. Datas in data.txt are of 2dimension and 2 types. run solve.m in mat
ml-py
- 机器学习算法(kNN、逻辑回归、线性回归、朴素贝叶斯)python实现。-machine learning by python
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
machine-learning-ex2-8
- 斯坦福机器学习网上公开课相关编程练习代码，包括线性回归，逻辑回归，神经网络，PCA,SVM等。-the programming code of online course Mechine Learning provided by Stanford.
回归
- 实现线性回归和逻辑回归，并随机数据进行分类(Linear regression and logistic regression were implemented, and random data were classified)
ElasticNet
- 用线性回归，逻辑回归等各种方法来拟合函数曲线(Linear regression, logistic regression, fitted function curve)
Exercise-dp-learning
- 深度学习例子，共五个，逻辑回归，线性回归等等(deep learning examples)
回归模型
- 利用R语言实现了线性回归和逻辑回归，提供了数据和代码(Use R language to achieve linear regression and logistic regression, and provide data and code.)
Logistic回归统计算法的matlab实现
- 统计回归分析，逻辑斯蒂多元线性回归，机器学习，详细代码解说，机器训练等(Logistic multiple linear regression, statistical regression analysis, logistic multiple linear regression, machine learning, detailed code interpretation, machine training, etc)
逻辑回归
- 逻辑回归一般指logistic回归。logistic回归又称logistic回归分析，是一种广义的线性回归分析模型，常用于数据挖掘，疾病自动诊断，经济预测等领域。(Logistic regression generally refers to logistic regression. Logistic regression, also known as logistic regression analysis, is a general