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Python Data Science Essentials

You're reading from   Python Data Science Essentials A practitioner's guide covering essential data science principles, tools, and techniques

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789537864
Length 472 pages
Edition 3rd Edition
Languages
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Authors (2):
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Luca Massaron Luca Massaron
Author Profile Icon Luca Massaron
Luca Massaron
Alberto Boschetti Alberto Boschetti
Author Profile Icon Alberto Boschetti
Alberto Boschetti
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Table of Contents (11) Chapters Close

Preface 1. First Steps FREE CHAPTER 2. Data Munging 3. The Data Pipeline 4. Machine Learning 5. Visualization, Insights, and Results 6. Social Network Analysis 7. Deep Learning Beyond the Basics 8. Spark for Big Data 9. Strengthen Your Python Foundations 10. Other Books You May Enjoy

A peek into natural language processing (NLP)

This section is not strictly related to machine learning, but it contains some machine learning results in the area of natural language processing. Python has many packages to process text data, and one of most powerful and complete toolkit for text processing is NLTK, the Natural Language Tool Kit.

Other NLP toolkits available for the Python community are gensim (https://radimrehurek.com/gensim/) and spaCy (https://spacy.io/)

In the following sections, we'll explore NLTK core functionalities. We will work on the English language; for other languages, you will first need to download the language corpora (note that sometimes languages have no free open source corpora for NLTK).

Please refer to the official website of NLTK data, http://www.nltk.org/nltk_data/, to have access to corpora and lexical resources in many languages, ready...

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