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Using Scikit-Learn Pipelines: A Cleaner Way to Build Machine Learning Models

This story is from 2026-08-28. It is preserved in the archive; the latest stories are on the live feed.

If you've spent some time building machine learning models with Python, you've probably had a notebook that looked something like this: X_train = scaler . fit_transform ( X_train ) X_test = scaler . transform ( X_test ) model . fit ( X_train , y_train ) predictions = model . predict ( X_test ) And…

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  1. 2026-08-28 17:49 · DEV Community — Machine Learning
    Using Scikit-Learn Pipelines: A Cleaner Way to Build Machine Learning Models

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