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R Machine Learning Projects

R Machine Learning Projects

By : Dr. Sunil Kumar Chinnamgari
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R Machine Learning Projects

R Machine Learning Projects

1 (1)
By: Dr. Sunil Kumar Chinnamgari

Overview of this book

R is one of the most popular languages when it comes to performing computational statistics (statistical computing) easily and exploring the mathematical side of machine learning. With this book, you will leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization. This book will help you test your knowledge and skills, guiding you on how to build easily through to complex machine learning projects. You will first learn how to build powerful machine learning models with ensembles to predict employee attrition. Next, you’ll implement a joke recommendation engine and learn how to perform sentiment analysis on Amazon reviews. You’ll also explore different clustering techniques to segment customers using wholesale data. In addition to this, the book will get you acquainted with credit card fraud detection using autoencoders, and reinforcement learning to make predictions and win on a casino slot machine. By the end of the book, you will be equipped to confidently perform complex tasks to build research and commercial projects for automated operations.
Table of Contents (12 chapters)
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10
The Road Ahead

Preface

Hello there! I’m Henrique Campos, also known as Pigdev, and in this book, we will talk about a topic that always intrigues me: design patterns. Specifically, in this book, we will talk about object-oriented programming design patterns. The idea behind this is that there are numerous problems regarding design that are common, so instead of reinventing the wheel, we can stand on the shoulders of giants and rely on tested, time-proven solutions. But in doing so, we are going to take a non-conventional path. You will learn the following from this book:

  • What is programming, from a philosophy of language perspective?
  • What is object-oriented programming, and why does it make sense for game development?
  • General principles of making good code such as the SOLID principles and the Composition Over Inheritance principle
  • Critical thinking to abstract problems within the context of a concrete project and understanding possible solutions to these problems
  • What are these patterns, when to use them, why we use them, and how each of the patterns presented in the book help solve particular game development issues
  • Basic and advanced design patterns that will help you create simple and complex features for your games

We will use our imagination by role-playing a game mechanics engineer who is responsible for implementing requests from a fictional game designer. This allows us to work in a similar context to real life, where a designer responsible for the creative direction of a game, comes with game design requests that a programmer should implement. In this process, we will create a complete platformer game with a player, an enemy with complex artificial intelligence, interactive objects, multiple levels, music, and more.

By the end of this book, you will have a solid knowledge of how to create reliable architectures for your game’s code bases that you can scale and reuse knowing exactly what its points of pressure are and how to solve potential problems. You will also understand that design patterns should not be used as an initial approach to implementing features; instead, they are used as solutions for problems that arise as we develop our games. In this process, you will learn refactoring techniques that will save you time and energy.

As a friend of mine says: an amateur knows how to create new code, and a professional knows how to fix old code. In that sense, the skills you will learn from this book will help you avoid the urge to make things from scratch and instead deal with ugly and messy situations, thriving through them and leaving a trail of elegant and scalable solutions.

Throughout the book, we will use Godot Engine 4.3, by the time of writing, the latest version of the rising star open source project that has been getting the industry’s eyes. To make the onboarding easy, we will use the built-in text editor and GDScript as the main tools. Godot has many built-in features that help us implement the design patterns we are going to see. In some cases, such as the Observer pattern, Godot provides the implementation and all we have to do is use it, but we must understand the principles behind it.

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R Machine Learning Projects
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