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R Machine Learning By Example

You're reading from   R Machine Learning By Example Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

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Product type Paperback
Published in Mar 2016
Publisher
ISBN-13 9781784390846
Length 340 pages
Edition 1st Edition
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Author (1):
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Raghav Bali Raghav Bali
Author Profile Icon Raghav Bali
Raghav Bali
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Table of Contents (10) Chapters Close

Preface 1. Getting Started with R and Machine Learning FREE CHAPTER 2. Let's Help Machines Learn 3. Predicting Customer Shopping Trends with Market Basket Analysis 4. Building a Product Recommendation System 5. Credit Risk Detection and Prediction – Descriptive Analytics 6. Credit Risk Detection and Prediction – Predictive Analytics 7. Social Media Analysis – Analyzing Twitter Data 8. Sentiment Analysis of Twitter Data Index

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...

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