搜索资源列表
linear-regression
- 最小二乘法的实现，线性回归的系统辨识，通过最小二乘的方法辨识系统模型的参数-linear regression
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.
GD-with-Linear-Regression
- 基于下降级的线性算法,能解决相关优化问题.-Linear Regression based on Gradient Descent
linear-regression
- 使用matlab实现机器学习最常用的linear regression算法-Using matlab realize learning machine most commonly used linear regression algorithm
linear-regression
- linear regression 线性规划 matlab 应用实例-linear regression matlab
Multiple-linear-regression
- 选择数据，进行归一化或者不归一化的多元线性回归处理，获得回归方程-achive the Multiple linear regression
linear-regression--with-one-variable
- 根据已有关于某事物的相关数据，通过此线性回归算法，对事物的发展进行预测，最大程度贴近事实情况。-According to the existing data on something by the linear regression algorithm to predict the development of things, close to the maximum extent the factual circumstances.
8.2-Bayesian-Linear-Regression
- Program for Bayesian Linear regression
Linear-Regression
- Linear Regression Exercises. We our Design Matrix as 1st, 2nd, and 9th-order Quadratic Functions and try to fit a simple data.-Linear Regression Exercises. We our Design Matrix as 1st, 2nd, and 9th-order Quadratic Functions and try to fit a simp
Linear-Regression
- 使用梯度下降法和解析法实现的线性回归算法。-Gradient descent algorithm using the linear regression method and analytical method to achieve.
MLR(-Multiple-Linear-Regression-)
- 关于多元线性回归分析和残差分析、逐步回归分析以及ANN-BP-MLR( Multiple Linear Regression )&residual analysis，stepwise regression analysis and ANN-BP
RBF
- 解决RBF线性回归的问题，可以运行，很强大(RBF linear regression problem)
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)
Regression
- linear regression via pseudoinversion
Linear_Regression_With_Multiple_Variables(1)
- Linear regression with Gradient descent, Credit: Andrew Ng
Akbarzadeh-mashayekhi
- solving linear regression in matlab
01_TF_basics_and_linear_regression
- 在tensorflow中实现linear regression(To achieve linear regression by tensorflow)
Linear Regression
- 线性回归实现人脸识别，有40类人脸图片共400张，200个训练集，200个测试集，通过2折交叉验证得到准确率为89%(Face recognition by linear regression)
HW1
- This is how to use gradient decent to do linear regression.
multiple linear regression
- 多元线性回归及显著性检验Matlab程序，分别检验了x2和x3，并且计算精度高(Multiple linear regression and saliency test Matlab program, respectively test the X2 and X3, and the high accuracy of calculation)