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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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Toc

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

Introducing problem statements


We are living in a competitive world. Before buying any product and investing our time or money in anything, we try to find out what others think about that product(s) or service(s). We try to analyze their reviews or opinions. If we find them positive and trustworthy, then we buy the product and invest our money or time in that particular service. On the other hand, if we find these opinions or reviews negative, then we might not buy the product and not invest our money or time in that particular service. In the current era of the internet, it is easy to find reviews on social media platforms, blogs, news sources, and so on. This activity of analyzing reviews will be useful for consumers as well as makers of products or service providers. This is because, based on the reviews of their customer, they can change their product effectively, providing more satisfaction to their customers and make a good profit from that product or service. I have already given...

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