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 3. Predicting Customer Shopping Trends with Market Basket Analysis

After the previous Chapter 2, Let's Help Machine Learn, you now know how to make machines learn from observations and data points so that they can find out interesting patterns, trends, and make predictions. In this chapter, we will be dealing with one of the complex problems faced by retailers, stores, and e-commerce marketplaces today. With the advent of modern technology and innovations, shopping has become a relatively pleasant and enjoyable experience which we can enjoy from the comfort of our home, without even venturing to an actual store, using the web or dedicated apps which provide shopping facilities. With a humongous number of retailers, stores, marketplaces, and sellers, competition is pretty stiff, and to attract customers, they have to use all the data they can gather from consumers about their personal traits and shopping patterns, and use machine learning techniques to try and make shopping experiences...