November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Lasso
Least absolute shrinkage and selection operator (Lasso) is a statistical technique that performs both variable selection and regularization in an effort to enhance prediction accuracies within a model.
The process of choosing or selecting variables within a statistical model results, obviously, in reducing the number of variables, which is also referred to as variable shrinkage.
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