Scikit Learn Pipeline allows to sequentially apply a list of transformers to preprocess the data and, if desired, conclude the sequence with a final predictor for predictive modeling.

Main benefits are:

• It allows us to keep all the definitions and components of our model in one place, which makes it easier to reuse the model or change it in the future.
• We can use grid search and cross-validate all the steps of the model together.

Name	Description
pipeline.Pipeline(steps, *[, memory, verbose])	A sequence of data transformers with an optional final predictor

Name	Description
compose.ColumnTransformer(transformers, *[, ...])	Applies transformers to columns of an array or pandas DataFrame