搜索资源列表
regression
- 机器学习算法，预测数值型回归，岭回归和逐步线性回归-Machine learning algorithms to predict numerical regression, ridge regression and stepwise linear regression
regTrees
- 机器学习算法，树回归，CART算法，回归与模型树算法，局部加权线性回归-Machine learning algorithms, regression tree, CART algorithm, regression and model tree algorithm, locally weighted linear regression
LinearReg
- 线性回归的，递归实现，可被编译成DLL，欢迎交流-The realization of recursive linear regression,, can be compiled into DLL, welcomed the exchange of
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
Linear-Regression
- 本算法通过简单的例子实现演示了线性回归的实现原理和流程。-The algorithm is realized by a simple example illustrates the linear regression principle and processes.
machine-learning-ex2
- Stanford机器学习练习2 线性回归 包含代码和讲解-Stanford Machine Learning Practice 2 contains the code and explain linear regression
mlLinearR
- MATLAB 平台上实现线性回归，简单的线性回归，易于理解、入门的那种-machine learning linear regression
Regression
- 机器学习线性回归的小程序，语言是java-linear regression
machine-learning-ex5
- 斯坦福大学机器学习课程作业第五章，主要包含加正则项的线性回归算法实战。-Stanford University machine learning course of the fifth chapter, including Regularized Linear Regression algorithm combat.
ex1
- 机器学习－1、线性回归 开发环境是Octave-Programming Exercise 1: Linear Regression Machine Learning
ex3
- 机器学习 3、正则化的线性回归 开发环境Octave-Programming Exercise 3: Regularized Linear Regression and Bias v.s. Variance Machine Learning
BasicModels-Tensorflow
- 使用tensorflow来实现基本的模型，包括线性回归，logistic回归和最近临-use tensorflow for some basics models, including linear regression,logistic regression and nearest neighbor
python
- 用机器学习中的线性回归和在线学习的方法预测空气质量-predict air quality
wg613
- 包括AHP，因子分析，回归分析，聚类分析，到达过程是的泊松过程，进行逐步线性回归。- Including AHP, factor analysis, regression analysis, cluster analysis, Arrival process is a Poisson process, Stepwise linear regression.
akdut
- 用于时频分析算法，计算时间和二维直方图,进行逐步线性回归。- For time-frequency analysis algorithm, Computing time and two-dimensional histogram, Stepwise linear regression.
regression
- 用线性回归找到最佳拟合直线，局部线性加权回归(locally weighted linear regression)
GRNN
- 基于广义线性回归神经网络的预测，计算出相应的误差。(Based on the prediction of generalized linear regression neural network, the corresponding error is calculated.)
multilinearreg
- 利用最小二乘法来对w和b进行估计。最小二乘法就是试图找到一条直线，使得所有样本到直线上的欧式距离之和最小。(The least squares method is used to estimate W and B. The least squares method is trying to find a straight line, so that the sum of Euclidean distance of all the samples to the line is minimum)
cplst
- 多标签分类算法，通过对标签降维（SVD），然后利用线性回归建立特征和低维标签之间的关系，求出特征的系数，然后反过来进行预测(Multi label classification algorithm, through the tag dimension reduction (SVD), and then use linear regression to establish the relationship between features and low dimensional tags, to
6370400
- 这是一元线性回归的源代码,用来分析自变量取值与因变量取值的内在联系,这里的自变量是确定性的,因变量是随机的()