Problem1 experiment with the effects of feature scaling in, Ask an Expert

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1. Experiment with the effects of feature scaling in linear regression. For a given data set with at least two features (dimensions), multiply all the values of one feature by 10k , for -10 ≤ k ≤ 10. Does this operation cause a loss of numerical accuracy in fitting?

2. Experiment with the effects of highly correlated features in linear regression. For a given (x, y) data set, replicate the value of x with small but increasing amounts of random noise. What is returned when the new column is perfectly correlated with the original? What happens with increasing amounts of random noise?

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Computer Engineering, Engineering

Category:- Computer Engineering
Reference No.:- M92783062

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