Difference between revisions of "Regression"
m |
|||
| Line 16: | Line 16: | ||
* [[Lasso Regression]] | * [[Lasso Regression]] | ||
* [[Elastic Net Regression]] | * [[Elastic Net Regression]] | ||
| − | * [[Bayesian Linear Regression]] | + | * [[Bayes#Bayesian Linear Regression|Bayesian Linear Regression]] |
* [[Logistic Regression (LR)]] | * [[Logistic Regression (LR)]] | ||
* [[Support Vector Regression (SVR)]] | * [[Support Vector Regression (SVR)]] | ||
Revision as of 11:52, 11 October 2020
YouTube search... ...Google search
______________________________________
- Linear Regression
- Ridge Regression
- Lasso Regression
- Elastic Net Regression
- Bayesian Linear Regression
- Logistic Regression (LR)
- Support Vector Regression (SVR)
- Ordinal Regression
- Poisson Regression
- Tree-based...
- General Regression Neural Network (GRNN)
- One-class Support Vector Machine (SVM)
- Gradient Boosting Machine (GBM)
______________________________________
set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors'). More specifically, regression analysis helps one understand how the typical value of the dependent variable (or 'criterion variable') changes when any one of the independent variables is varied, while the other independent variables are held fixed. Regression Analysis | Wikipedia
