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Who are the authors of 'An Introduction to Statistical Learning: with Applications in R'?
Which programming language does the book 'An Introduction to Statistical Learning: with Applications in R' mainly use for its examples?RPythonJavaC++
What does 'ISL' mean in context of this book?
What is an example of an unsupervised learning method discussed in the book?ClusteringDimensionality reductionLinear regressionLogistic regression
What is the main focus of the book 'An Introduction to Statistical Learning: with Applications in R'?
What type of learning does 'Linear regression' belong to, as classified in the book?SupervisedUnsupervisedReinforcementSemi-Supervised
What does 'RSS' mean in context of regression analysis, as per the book?
What is a required assumption while implementing linear regression model, as per the book?A linear relationship between the dependent and independent variablesDependent variables should be non-linearModel accuracy is independent of data sizeThere is no multicollinearity among the independent variables
What kind of learning technique is 'k-means clustering' according to the book?
True or False: The book suggests R is primarily used for data visualization?FalseTrue