Datacamp – Natural Language Processing with spaCy 2023-11

Datacamp – Natural Language Processing with spaCy 2023-11 Downloadly IRSpace

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Apr 17, 2025 - 13:25 Updated: Apr 21, 2025 - 06:19
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Datacamp – Natural Language Processing with spaCy 2023-11
Datacamp – Natural Language Processing with spaCy 2023-11

Natural Language Processing with spaCy, In this course, you will learn how to use spaCy, a fast-growing industry-standard library, to perform various natural language processing tasks such as tokenization, sentence segmentation, parsing, and named entity recognition. spaCy can provide powerful, easy-to-use, and production-ready features across a wide range of natural language processing tasks.

You will start by learning the core operations of spaCy and how to use them to parse text and extract information from unstructured data. Then, you will work with spaCy’s classes, such as Doc, Span, and Token, and learn how to use different spaCy components for calculating word vectors and predicting semantic similarity.
You will practice writing simple and complex matching patterns to extract given terms and phrases using EntityRuler, Matcher, and PhraseMatcher from unstructured data. You will also learn how to create custom pipeline components and create training/evaluation data. From there, you will dive into training spaCy models and how to use them for inference. Throughout the course, you will work on real-world examples and solidify your understanding of using spaCy in your own NLP projects.

What you’ll learn

  • how to use the powerful spaCy library to perform various natural language processing
  • Data analysis with spaCy
  • Learn about linguistic features, word vectors
  • Customizing spaCy models

Specificatoin of Natural Language Processing with spaCy

  • Publisher : Datacamp
  • Teacher : Azadeh Mobasher
  • Language : English
  • Level : All Levels
  • Number of Course : 4
  • Duration : 4 hours to complete to the course

Content of Natural Language Processing with spaCy

Natural Language Processing with spaCy

Requirements

  • Supervised Learning with scikit-learn
  • Python Data Science

Pictures

Natural Language Processing with spaCy

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Installation Guide

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Subtitle : English

Quality: 720p

Download Links

Download – 87 MB

File size

87 MB

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