Applied Data Science Using PySpark (2nd Edition)
Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle
English | 2024 | ASIN : B0DBBXKL4X | 447 Pages | PDF | 18 MB
English | 2024 | ASIN : B0DBBXKL4X | 447 Pages | PDF | 18 MB
This comprehensive guide, featuring hand-picked examples of daily use cases, will walk you through the end-to-end predictive model-building cycle using the latest techniques and industry tricks. In Chapters 1, 2, and 3, we will begin by setting up the environment and covering the basics of PySpark, focusing on data manipulation. Chapter 4 delves into the art of variable selection, demonstrating various techniques available in PySpark. In Chapters 5, 6, and 7, we explore machine learning algorithms, their implementations, and fine-tuning techniques. Chapters 8 and 9 will guide you through machine learning pipelines and various methods to operationalize and serve models using Docker/API. Chapter 10 will demonstrate how to unlock the power of predictive models to create a meaningful impact on your business. Chapter 11 introduces some of the most widely used and powerful modeling frameworks to unlock real value from data.