Hello everyone, I'm new to scikit learn. I see that many tutorial in scikit-learn follows the work-flow along the lines of 1) tranform the data 2) split the data: train, test 3) instantiate the sklearn object and fit 4) predict and tune parameter
But, linear regression is done in least squares, so I don't think train test split is necessary. So, I guess I can just use the entire dataset? Thanks in advance!
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