Book Image

Hands-On Data Science with R

By : Vitor Bianchi Lanzetta, Doug Ortiz, Nataraj Dasgupta, Ricardo Anjoleto Farias
Book Image

Hands-On Data Science with R

By: Vitor Bianchi Lanzetta, Doug Ortiz, Nataraj Dasgupta, Ricardo Anjoleto Farias

Overview of this book

R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident enough to get hands-on with real-world data science problems. The book starts with an introduction to data science and introduces readers to popular R libraries for executing data science routine tasks. This book covers all the important processes in data science such as data gathering, cleaning data, and then uncovering patterns from it. You will explore algorithms such as machine learning algorithms, predictive analytical models, and finally deep learning algorithms. You will learn to run the most powerful visualization packages available in R so as to ensure that you can easily derive insights from your data. Towards the end, you will also learn how to integrate R with Spark and Hadoop and perform large-scale data analytics without much complexity.
Table of Contents (16 chapters)

Meeting Stack Overflow

Stack Overflow is a powerful tool and, thankfully, learning how to use it is quite straightforward. This book is obviously focused on coding and data science, and so will be this introductory guide, but keep in mind that Stack Overflow can help you solve matters from practically any field of knowledge— cooking, grammar, literature, job interviews, chemistry... the list goes on and on.

There are basically three ways you can use Stack Overflow:

  • You ask others for help—queries you may have or things that are troubling you
  • You help others by solving their problems—answer their queries or overcome their bugs
  • Seek a job

This book has a clear goal to teach practical machine learning with R; the next tips will be more directly related to programming and data science but can be generalized to other fields with some minor adjustments. If you...