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Machine Learning for the Web

You're reading from   Machine Learning for the Web Gaining insight and intelligence from the internet with Python

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781785886607
Length 298 pages
Edition 1st Edition
Languages
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Authors (2):
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Andrea Isoni Andrea Isoni
Author Profile Icon Andrea Isoni
Andrea Isoni
Steve Essinger Steve Essinger
Author Profile Icon Steve Essinger
Steve Essinger
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to Practical Machine Learning Using Python FREE CHAPTER 2. Unsupervised Machine Learning 3. Supervised Machine Learning 4. Web Mining Techniques 5. Recommendation Systems 6. Getting Started with Django 7. Movie Recommendation System Web Application 8. Sentiment Analyser Application for Movie Reviews Index

Summary


In this chapter, we described a movie review sentiment analyzer web application to make you familiar with some of the algorithms and libraries we discussed in Chapter 3, Supervised Machine Learning, Chapter 4, Web Mining Techniques, and Chapter 6, Getting Started with Django.

This is the end of a journey: by reading this book and experimenting with the codes provided, you should have acquired significant practical knowledge about the most important machine learning algorithms used in the commercial environment nowadays.

You should be now ready to develop your own web applications and ideas using Python and some machine learning algorithms, learned by reading this book. Many challenging data-related problems are present in the real world today, waiting to be solved by people who can grasp and apply the material treated in this book, and you, who have arrived at this point, are certainly one of those people.

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