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Detecting Multicollinearity and Ridge Regression as a possible Solution #2

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RohitDhankar opened this issue May 26, 2020 · 1 comment

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@RohitDhankar
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RohitDhankar commented May 26, 2020

Go through publicly available learning resources for Ridge Regression - relate the same to the MMM - incorporate the R and Python Code for - Detecting Multicollinearity and Ridge Regression , with focus on MMM ..

Yes == https://tamino.wordpress.com/2011/02/12/ridge-regression/
Yes == https://darrenho.github.io/SML2015/presentation%201.pdf
https://drsimonj.svbtle.com/ridge-regression-with-glmnet
https://rstatisticsblog.com/data-science-in-action/machine-learning/ridge-regression-in-r/

Not sure if this is OK -- https://www.youtube.com/watch?v=Q81RR3yKn30
Seems OK -- https://www.youtube.com/watch?v=_3xMSbIde2I
Seems OK -- https://www.youtube.com/watch?v=ctmNq7FgbvI

Seems OK -- Lecture52 (Data2Decision) Detecting Multicollinearity in R -- https://www.youtube.com/watch?v=QruEcbgfhzo

Seems OK -- https://www.stat.cmu.edu/~larry/=stat401/lecture-17.pdf

https://courses.cit.cornell.edu/econ620/Beamer_Lec6.pdf
https://www.r-bloggers.com/ridge-regression-and-the-lasso/
https://cran.r-project.org/web/packages/ridge/ridge.pdf
https://www.andreaperlato.com/mlpost/deal-multicollinearity-with-ridge-regression/
Not Sure - http://www.m-hikari.com/ijcms-2011/9-12-2011/rashwanIJCMS9-12-2011.pdf
Not Sure - https://scialert.net/fulltext/?doi=jas.2015.392.404
https://courses.cit.cornell.edu/econ620/Lec6.pdf

https://stats.stackexchange.com/questions/258808/why-we-use-ridge-regression-instead-of-least-squares-in-multicollinearity

https://stats.stackexchange.com/questions/4272/when-to-use-regularization-methods-for-regression

https://stats.stackexchange.com/questions/104779/why-does-ridge-regression-work-well-in-the-presence-of-multicollinearity

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