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Machine Learning Solutions

You're reading from   Machine Learning Solutions Expert techniques to tackle complex machine learning problems using Python

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788390040
Length 566 pages
Edition 1st Edition
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Author (1):
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Jalaj Thanaki Jalaj Thanaki
Author Profile Icon Jalaj Thanaki
Jalaj Thanaki
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Table of Contents (19) Chapters Close

Machine Learning Solutions
Foreword
Contributors
Preface
1. Credit Risk Modeling 2. Stock Market Price Prediction FREE CHAPTER 3. Customer Analytics 4. Recommendation Systems for E-Commerce 5. Sentiment Analysis 6. Job Recommendation Engine 7. Text Summarization 8. Developing Chatbots 9. Building a Real-Time Object Recognition App 10. Face Recognition and Face Emotion Recognition 11. Building Gaming Bot List of Cheat Sheets Strategy for Wining Hackathons Index

Chapter 3. Customer Analytics

Customer analytics is a process in which we use the data of customer behavior to derive the most important business decisions using market segmentation and predictive analytics. Market segmentation is the process of dividing the user base into subgroups based on their behavior and other types of shared characteristics. This will help companies in providing customized products for each user segment. The result of this kind of analysis will lead the company to grow their business in an effective manner. Companies also make more profit. There are a lot of advantages. I know this is only a brief discussion about market segmentation, but just bear with me for a while. I will give you all the necessary information in the upcoming sections.

Companies can use the result generated by market segmentation and predictive models for direct marketing, site selection, customer acquisition, and customer relationship management. In short, with the help of customer analytics,...

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