Summary  
This chapter explains how to define and orchestrate modular pipeline components in code to automate data preprocessing, model training, evaluation, and deployment in a reproducible and maintainable way.

General domain of usage  
Machine learning

Master machine learning techniques using PySpark and real estate data. Learn to build, evaluate, and optimize ML pipelines for classification, regression, and clustering tasks using Spark MLlib.

Comprehensive guide to machine learning with PySpark using real estate data, covering classification, regression, clustering, and pipeline optimization.

Building End-to-End ML Pipelines