Mastering spaCy

In this spaCy NLP course, you will learn about core tasks like tokenization, NER, and POS tagging and advanced topics such as custom model training and complex NLP pipelines.

103 Lessons

30h

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This course extensively introduces 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, architecture, installation, and setup. It teaches common NLP tasks like tokenization, named entity recognition (NER), part-of-speech (POS) tagging, and dependency parsing. Part 2 delves into spaCy’s features, covering syntax and semantics. It explores pattern matching and semantics via word vectors and thoroughly discusses statistical information extraction techniques. Part 3 examines advanced topics, including developing complex NLP models that require expertise, analysis, and practical experience. Multiple experiments with various NLP tasks are conducted, including customizing statistical models to meet specific needs.

This course extensively introduces the widely used Python library spaCy for natural language processing (NLP). It covers spaCy b...Show More

WHAT YOU'LL LEARN

An understanding of spaCy’s architecture and its various components for NLP tasks

The ability to customize and train your statistical models for NLP tasks

The ability to work with advanced NLP features

An understanding of how to build and optimize NLP pipelines

Hands-on experience using spaCy for real-world NLP applications

An understanding of spaCy’s architecture and its various components for NLP tasks

TAKEAWAY SKILLS

Machine Learning

Natural Language Processing

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Course Author:

Packt

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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