Difference between revisions of "Elastic Net Regression"
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*** [https://towardsdatascience.com/ridge-and-lasso-regression-a-complete-guide-with-python-scikit-learn-e20e34bcbf0b Ridge and Lasso Regression: A Complete Guide with Python Scikit-Learn | Saptashwa - Towards Data Science] | *** [https://towardsdatascience.com/ridge-and-lasso-regression-a-complete-guide-with-python-scikit-learn-e20e34bcbf0b Ridge and Lasso Regression: A Complete Guide with Python Scikit-Learn | Saptashwa - Towards Data Science] | ||
** [[Lasso Regression]] | ** [[Lasso Regression]] | ||
| − | * [[Math for Intelligence]] | + | * [[Math for Intelligence]] ... [[Finding Paul Revere]] |
* [[Overfitting Challenge]] | * [[Overfitting Challenge]] | ||
Revision as of 10:57, 4 June 2023
YouTube search... ...Google search
- AI Solver
- Capabilities
- Regression Analysis
- Regularization
- Math for Intelligence ... Finding Paul Revere
- Overfitting Challenge
Elastic-Net Regression is combines Lasso Regression with Ridge Regression to give you the best of both worlds. It works well when there are lots of useless variables that need to be removed from the equation and it works well when there are lots of useful variables that need to be retained. And it does better than either one when it comes to handling correlated variables. [StatQuest
