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Mastering spaCy

Gain insights into mastering spaCy for NLP. Learn about core tasks like tokenization, NER, POS tagging, and advanced topics such as custom model training and complex NLP pipelines.

Beginner

103 Lessons

30h

Certificate of Completion

Gain insights into mastering spaCy for NLP. Learn about core tasks like tokenization, NER, POS tagging, and advanced topics such as custom model training and complex NLP pipelines.
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This course includes

2 Assessments
232 Playgrounds
10 Quizzes
Course Overview
What You'll Learn
Course Content
Apply Your Skills
Recommendations

Course Overview

This course offers an extensive introduction to the widely-used Python library, spaCy, for natural language processing (NLP). It covers spaCy basics, such as tokenization and part-of-speech tagging, as well as advanced topics like custom model training and NLP pipeline creation. The course has three parts: Part 1 focuses on spaCy's fundamentals, its architecture, installation, and setup. It teaches common NLP tasks like tokenization, named entity recognition (NER), part-of-speech (POS) tagging, and depen...Show More
This course offers an extensive introduction to the widely-used Python library, spaCy, for natural language processing (NLP). It covers spaCy basics, such as tokenization and part-of-speech tagging, as well as advanced topics like custom model training and...Show More

TAKEAWAY SKILLS

Machine Learning

Natural Language Processing

What You'll Learn

An understanding of spaCy’s architecture and its various components for NLP tasks
Ability to customize and train your own statistical models for NLP tasks
Ability to work with advanced NLP features
An understanding of how to build and optimize NLP pipelines
Practical experience with using spaCy for real-world NLP applications
An understanding of spaCy’s architecture and its various components for NLP tasks

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Course Content

12.

Appendix

4 Lessons

Enhance your skills in installing spaCy, visualizing with displaCy, and managing custom models.

13.

Conclusion

1 Lessons

Optimize spaCy in real-world NLP by mastering its architecture and advanced applications.

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