搜索资源列表
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
Batch-Gradient-Descent
- 分别使用了批梯度下降法和牛顿法进行线性回归的测试。-Respectively the batch gradient descent and Newton s method of linear regression tests.
Locally-Line-Regress
- 《斯坦福公开课》局部线性回归算法（PS1）。-Locally Line Regress
MLRforSSVEPDemo
- 对于CK信号进行降维，同时也有线性回归方法，里面有一个例子供大家学习-CK signal for dimensionality reduction, but also a linear regression method, which has an example for everyone to learn
Cart-tree
- 实现CART树回归，树的生成与剪枝过程，并与简单线性回归进行对比-Implement a regression tree generation algorithm when the leaf nodes indicate 3rd order polynomials. Test your program with the dataset and compare the results with those of simple linear regression
machine-learning-ex1
- 斯坦福大学机器学习课程作业第一章，主要包含线性回归实战。-Stanford Machine Learning course work first chapter contains a linear regression combat.
rqpd_0.6
- 对数进行分位数回归分析，求得分位数回归方程参数。(The quantile regression analysis is performed on the logarithm to obtain the number of regression equations for the score.)
linear regression
- 线性回归模型与诊断 数据说明：本数据是一份汽车贷款数据(linear regression lesson)