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Model Selection and Regularization Methods
Do some Internet or Library research beyond the text and find a credible resource that deals with model selection and regularization. Based on the resources, respond to the following for your initial post:
In paragraph form, summarize model selection and regularization as applied in data analytics. Include in your summary what shrinkage, dimension reduction, and principal component analysis are. Also include actual examples of where each method can be applied. Conclude your discussion with a table comparing the methods used for model selection and regularization.
For the initial post:
Cite your source properly using APA in-text citation.
Provide a full APA reference entry at the end of the post.
In responses to at least two others, consider sharing experiences about model selection and regularization or do some light research “beyond” the other student’s initial post (citing your sources, of course).
