Book Image

Modern Scala Projects

By : Ilango gurusamy
Book Image

Modern Scala Projects

By: Ilango gurusamy

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.

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Table of Contents (14 chapters)
Title Page
Title Page
Copyright and Credits
Copyright and Credits
Packt Upsell
Packt Upsell
Contributors
Contributors
Preface
Preface
Free Chapter
1
Predict the Class of a Flower from the Iris Dataset
Predict the Class of a Flower from the Iris Dataset
A multivariate classification problem
Project overview – problem formulation
Getting started with Spark
Implementing the Iris pipeline 
Summary
Questions
2
Build a Breast Cancer Prognosis Pipeline with the Power of Spark and Scala
Build a Breast Cancer Prognosis Pipeline with the Power of Spark and Scala
Breast cancer classification problem
Getting started
Random Forest breast cancer pipeline
LR breast cancer pipeline
Summary
Questions
3
Stock Price Predictions
Stock Price Predictions
Stock price binary classification problem
Getting started
Implementation objectives
Summary
Questions
4
Building a Spam Classification Pipeline
Building a Spam Classification Pipeline
Spam classification problem
Project overview – problem formulation
Getting started
Spam classification pipeline 
Summary
Questions
Further reading
5
Build a Fraud Detection System
Build a Fraud Detection System
Fraud detection problem
Project overview – problem formulation
Getting started
Implementation steps
Summary
Questions
Further reading
6
Build Flights Performance Prediction Model
Build Flights Performance Prediction Model
Overview of flight delay prediction
Getting started
Implementation and deployment
Summary
Questions
Further reading
7
Building a Recommendation Engine
Building a Recommendation Engine
Problem overviews
Detailed overview
Implementation and deployment 
Summary
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Other Books You May Enjoy
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Index
Index

Contributors

About the author

Ilango Gurusamy holds an MS degree in computer science from California State University. He has lead Java projects at Northrop Grumman, AT&T, and such. He moved into Scala and Functional Programming. His current interests are IoT, navigational applications, and all things Scala related. A strategic thinker, speaker, and writer, he also loves yoga, skydiving, cars, dogs, and fishing. You can know more about his achievements in his blog, titled scalanirvana. His LinkedIn user name is ilangogurusamy.

About the reviewer

Adithya Selvaprithiviraj is a Scala developer in the Innovation Centre Network at SAP Labs. Currently, he is involved in the development of a modern typesafe framework to ease enterprise application development in the SAP landscape. Previously, Adithya was part of several machine learning projects. You can find out more about his achievements in his blog, titled adithyaselv.

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