How to make a useful pipeline in machine learning using sklearn - Dragon Forest

A machine learning pipeline consists of multiple data extraction, preprocessing, and model-building steps. It helps to automate processes that are required in model building. Pipeline helps to include all steps of preprocessing, feature selection, feature extraction, model selection, and model building In one entity. Here we will see how to make a pipeline in machine learning. In Applications where you need multiple machine learning models then, in that case, this pipeline will help you a lot.