Introduction to Spacy for Natural Language Processing

Kick start your Data Science career with NLP. This course is about Spacy. NLTK is not taught in this course.

[Free Udemy Course] Introduction to Spacy for Natural Language Processing

What you'll learn

  • How to install and use Spacy in Python projects
  • The basics of natural language processing and how Spacy can be used for various NLP tasks such as tokenization, tagging, parsing, and named entity recognition.
  • How to use Spacy's pre-trained models for different languages and how to create custom pipeline components for specific tasks.
  • How to work with large datasets and how to optimize the performance of Spacy for large data sets.
  • Hands-on experience working with real-world examples and exercises to solidify their understanding of the concepts.
  • How to combine Spacy with other popular Python libraries such as pandas, numpy, and scikit-learn for data analysis and machine learning tasks.

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