搜索资源列表
Regressionanalysis
- 回归的各种分析实例以及matlab代码，包括各种数学应用，比如线性回归，非线性回归，逐步回归-Examples of regression analysis, as well as a variety of matlab code, including a variety of mathematical applications such as linear regression, nonlinear regression, stepw
regressionOptimization
- 实现了线性回归和非线性回归，代码简单，容易上手-regression-Optimization
dyfxxhg
- 用DELPHI写的多元非线性回归代码,对生物统计学和生物信息学有较好参考意义.-With the DELPHI code written in multiple non-linear regression of biological statistics and bioinformatics have good reference value.
MultipleRegression
- 数学统计分析工具，多元线性回归分析代码。-MultipleRegression
Linear-regression-equation
- 一元线性回归方程， 求线性回归方程：Y = a + bx 的回归系数a和b. 用的是最小二乘法推导的结果。网上搜索最小二乘法原理，配合这个源代码学习还是不错的。本代码是网上搜来的，发现自学用不错，特上传分享。-Linear regression equation, find the linear regression equation: Y = a+ bx the regression coefficients a and b. der
MATLAB
- 简单二元线性回归代码，可用于探讨应变量与自变量之间的关系-Simple linear regression of binary code, can be used to explore the variables and the relationship between the independent variables
多元多重线性回归-估计
- 多重线性回归分析，含PPT，R代码和阅读材料(R code for multiple linear regression analysis)
regstats2
- 可计算线性回归趋势，显著性以及各种统计量，详情请参照代码内的介绍(Computable linear regression, trends, significance, as well as various statistics, please refer to the code for details)
02a 多元线性回归分析
- 基于矩阵运算的多元线性回归分析，基于回归计算程序包的多元线性回归分析等MATLAB程序实现；各检验值齐全(Multivariate linear regression analysis based on matrix operation, multiple linear regression analysis based on regression calculation package)
一元线性回归
- 包括基于矩阵运算计算回归系数并添加趋势线，基于多项式拟合计算回归系数并添加趋势线，借助回归分析程序包计算回归系数并估计检验统计量，及预测和各统计量。(Including the regression coefficient and add the trend line calculation based on matrix computation, polynomial fitting to calculate the regressi
2单变量线性回归_配套代码
- 关于机器学习的线性回归模型matlab主程序。(Matlab main program of linear regression model for machine learning.)
logistic线性回归
- 应用MATLAB程序进行线性回归计算，此为相关代码，具有很强的应用价值。(Application of MATLAB program for linear regression calculation, this is the relevant code, has a strong application value.)
线性回归
- matlab线性回归计算，基于梯度下降的线性回归算法(matlab linear regression)
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)
机器学习Python程序
- 覆盖了基本常用的机器学习算法。包括线性回归与分类算法；决策树；多种降维算法；优化算法；强化学习等多类算法的Python代码。(It covers the commonly used machine learning algorithms. Including linear regression and classification algorithm; decision tree; a variety of dimensionality
线性回归
- 此为用Matlab实现线性回归的底层代码，可供学习者参考学习(This is the bottom code for linear regression using Matlab, which can be used for reference by learners.)
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.)
多元线性回归
- 多元线性回归代码以及多元非线性回归代码数学建模(Multiple linear regression 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)
美赛A题常见参考代码
- 美赛A题常见参考代码,包括蚁群算法，遗传算法，目标优化，神经网络优化，多元非线性回归，免疫算法，混合粒子群算法，灰色关联分析，人工鱼群，量子遗传算法，一元线性回归，基于Logistic回归模型评估企业还款能力代码......