explosion/spacy-course resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2427 stars · 379 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A free, open-source online course teaching advanced NLP with spaCy, covering tokenization, named entity recognition, pipelines, and training custom neural network models. The repo contains both the interactive course content (in multiple languages) and the Gatsby-based web framework that powers it, with exercises runnable via Binder.

Use cases

• learn spaCy for NLP from scratch
• interactive course on named entity recognition
• how to train a custom spaCy NER model
• learn dependency parsing and part-of-speech tagging
• self-study material for natural language processing in Python
• understand spaCy processing pipelines and custom components
• practice NLP exercises in the browser with Binder

When to choose

• you want a structured, hands-on introduction to spaCy and NLP
• you prefer interactive exercises with instant feedback in the browser
• you want free, self-paced learning material available in multiple languages

When to avoid

• you need a production NLP library rather than a course (use spaCy itself)
• you want deep learning theory beyond spaCy's training workflow
• you need a general Python or machine learning course not focused on NLP

Facets

learning-resource · maturity active

nlp machine-learning developer-tools education tutorials machine-learning python cross-platform spacy online-course interactive-exercises jupyter binder named-entity-recognition dependency-parsing word-vectors gatsby self-study natural-language-processing web

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