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Let X be a dataset with number of rows corresponding to different samples and number of columns corresponding to different features. Let Y be the target variable vector. Write a few lines of code that gets a 70 to 30 train vs test split of the data and further removes the mean from each column and appropriately scales the data?.

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Let X be a dataset with number of rows corresponding to different samples and number of columns corresponding to different features. Let Y be the target variable vector. Write a few lines of code that gets a 70 to 30 train vs test split of the data and further removes the mean from each column and appropriately scales the data?

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Let X be a dataset with number of rows corresponding to diff.pdf

  • 1. Let X be a dataset with number of rows corresponding to different samples and number of columns corresponding to different features. Let Y be the target variable vector. Write a few lines of code that gets a 70 to 30 train vs test split of the data and further removes the mean from each column and appropriately scales the data?