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This assignment covers Questions 3, 5, 6, and 9 from Chapter 5 of An Introduction to Statistical Learning with Applications in R. The exercises focus on resampling methods, particularly cross-validation and the bootstrap, and demonstrate how these techniques can be used to evaluate model performance and estimate uncertainty.
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