This section starts by laying out the implementation infrastructure for Chapter 4, Building a Spam Classification Pipeline. The goal of this section will be to get started on developing one data pipeline to analyze the flight-on-time dataset. The first step is to set up prerequisites, before implementation. That is the goal of the next subsection.

Modern Scala Projects
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Modern Scala Projects
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Overview of this book
Scala is both a functional programming and object-oriented programming language designed to express common programming patterns in a concise, readable, and type-safe way. Complete with step-by-step instructions, Modern Scala Projects will guide you in exploring Scala capabilities and learning best practices. Along the way, you'll build applications for professional contexts while understanding the core tasks and components.
You’ll begin with a project for predicting the class of a flower by implementing a simple machine learning model. Next, you'll create a cancer diagnosis classification pipeline, followed by tackling projects delving into stock price prediction, spam filtering, fraud detection, and a recommendation engine. The focus will be on application of ML techniques that classify data and make predictions, with an emphasis on automating data workflows with the Spark ML pipeline API. The book also showcases the best of Scala’s functional libraries and other constructs to help you roll out your own scalable data processing frameworks.
By the end of this Scala book, you’ll have a firm foundation in Scala programming and have built some interesting real-world projects to add to your portfolio.
Table of Contents (9 chapters)
Preface
Predict the Class of a Flower from the Iris Dataset
Build a Breast Cancer Prognosis Pipeline with the Power of Spark and Scala
Stock Price Predictions
Building a Spam Classification Pipeline
Build a Fraud Detection System
Build Flights Performance Prediction Model
Building a Recommendation Engine
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