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freeCodeCamp

Natural Language Processing with spaCy & Python - Course for Beginners

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Overview

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Beginner-friendly video course on natural language processing using the spaCy library in Python. Covers installing spaCy, its container objects, linguistic annotations, named entity recognition, word vectors, processing pipelines, the EntityRuler and Matcher, building custom components, and regular expressions for single- and multi-word tokens, finishing with an applied financial NER project. Suitable for Python users new to NLP.

Syllabus

Course Introduction.
Intro to NLP.
How to Install spaCy.
SpaCy Containers.
Linguistic Annotations.
Named Entity Recognition.
Word Vectors.
Pipelines.
EntityRuler.
Matcher.
Custom Components.
RegEx (Basics).
RegEx (Multi-Word Tokens).
Applied SpaCy Financial NER.

Taught by

freeCodeCamp.org

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