Book Image

R Machine Learning By Example

By : Raghav Bali
Book Image

R Machine Learning By Example

By: Raghav Bali

Overview of this book

Data science and machine learning are some of the top buzzwords in the technical world today. From retail stores to Fortune 500 companies, everyone is working hard to making machine learning give them data-driven insights to grow their business. With powerful data manipulation features, machine learning packages, and an active developer community, R empowers users to build sophisticated machine learning systems to solve real-world data problems. This book takes you on a data-driven journey that starts with the very basics of R and machine learning and gradually builds upon the concepts to work on projects that tackle real-world problems. You’ll begin by getting an understanding of the core concepts and definitions required to appreciate machine learning algorithms and concepts. Building upon the basics, you will then work on three different projects to apply the concepts of machine learning, following current trends and cover major algorithms as well as popular R packages in detail. These projects have been neatly divided into six different chapters covering the worlds of e-commerce, finance, and social-media, which are at the very core of this data-driven revolution. Each of the projects will help you to understand, explore, visualize, and derive insights depending upon the domain and algorithms. Through this book, you will learn to apply the concepts of machine learning to deal with data-related problems and solve them using the powerful yet simple language, R.
Table of Contents (15 chapters)
R Machine Learning By Example
About the Authors
About the Reviewer

Chapter 4. Building a Product Recommendation System

The digital world has made everything available at the click of a button. With everything going the online way, online shopping or e-commerce has become a big thing. From groceries to electronics to even cars, everything is available at the Amazon, Flipkart, and eBay of the world. This ever expanding digital market is just the right place for data science to show its magic.

The online revolution of e-commerce has not only empowered the customers, it has also overwhelmed them with too many choices. Choices are not only in terms of products or categories but also between different e-commerce platforms. Being an ecommerce company in this highly competitive market can be really difficult. Standing out is a challenge and that is where data yet again comes to the rescue.

As we saw in Chapter 3, Predicting Customer Shopping Trends with Market Basket Analysis, purchase patterns can provide a lot of insights about shopping behaviors. We utilized such...