Difference between revisions of "Lasso Regression"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
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| − | [ | + | [https://www.youtube.com/results?search_query=Lasso+Regression+artificial+intelligence YouTube search...] |
| − | [ | + | [https://www.google.com/search?q=Lasso+Regression+machine+learning+ML ...Google search] |
* [[AI Solver]] | * [[AI Solver]] | ||
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* [[Regularization]] | * [[Regularization]] | ||
** [[Ridge Regression]] | ** [[Ridge Regression]] | ||
| − | *** [ | + | *** [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] |
** [[Elastic Net Regression]] | ** [[Elastic Net Regression]] | ||
* [[Math for Intelligence]] | * [[Math for Intelligence]] | ||
* [[Overfitting Challenge]] | * [[Overfitting Challenge]] | ||
| − | a type of linear regression that uses shrinkage. Shrinkage is where data values are shrunk towards a central point, like the mean. The lasso procedure encourages simple, sparse models (i.e. models with fewer parameters) [ | + | a type of linear regression that uses shrinkage. Shrinkage is where data values are shrunk towards a central point, like the mean. The lasso procedure encourages simple, sparse models (i.e. models with fewer parameters) [https://www.statisticshowto.datasciencecentral.com/lasso-regression/ Lasso Regression: Simple Definition | Statistics How To] |
| − | + | https://miro.medium.com/max/700/1*Jd03Hyt2bpEv1r7UijLlpg.png | |
<youtube>NGf0voTMlcs</youtube> | <youtube>NGf0voTMlcs</youtube> | ||
<youtube>jbwSCwoT51M</youtube> | <youtube>jbwSCwoT51M</youtube> | ||
Revision as of 20:52, 28 March 2023
YouTube search... ...Google search
- AI Solver
- Capabilities
- Regression Analysis
- Regularization
- Math for Intelligence
- Overfitting Challenge
a type of linear regression that uses shrinkage. Shrinkage is where data values are shrunk towards a central point, like the mean. The lasso procedure encourages simple, sparse models (i.e. models with fewer parameters) Lasso Regression: Simple Definition | Statistics How To
