Using Scikit-Learn Pipelines to Automate the Machine Learning Model Training and Predictions

In this article, I will try to explain the theory and the use of Scikit-Learn’s pipelines class using a coding example of cross-validation and hyperparameter tuning.

Scikit-Learn pipelines are used to chain multiple operations in our machine learning lifecycle (mainly data preprocessing, model creation, and prediction on the test data). They help us by reducing a lot of manual coding for cross-validation and hyperparameter tuning.

Before diving into the Scikit-Learn pipelines, let’s first understand …

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