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Here we create a ML Pipeline that applies transformation to columns of a dataset and then a Linear Regression. Finally we estimate the error and compare the transformed and raw data to check if the pipeline is in fact improving the model.

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Here we create a ML Pipeline that applies transformation to columns of a dataset and then a Linear Regression. Finally we estimate the error and compare the transformed and raw data to check if the pipeline is in fact improving the model.

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