Scala, along with the Spark Framework, forms a rich and powerful data processing ecosystem. This book is a journey into the depths of this ecosystem. The machine learning (ML) projects presented in this book enable you to create practical, robust, data analytics solutions, with an emphasis on automating data workflows with the Spark ML pipeline API. This book showcases, or carefully cherry-picks from, Scala’s functional libraries and other constructs to help readers roll out their own scalable data processing frameworks. The projects in this book enable data practitioners across all industries to gain insights into data that will help organizations to obtain a strategic and competitive advantage. Modern Scala Projects focuses on the application of supervisory learning ML techniques that classify data and make predictions. You'll begin with working on a project to predict a class of flower by implementing a simple machine learning model. Next, you'll create a cancer diagnosis classification pipeline, followed by projects delving into stock price prediction, spam filtering, fraud detection, and a recommendation engine.
By the end of this book, you will be able to build efficient data science projects that fulfill your software requirements.
