# llSourcell/Learn-Natural-Language-Processing-Curriculum

This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube

Repository: https://github.com/llSourcell/Learn-Natural-Language-Processing-Curriculum
Canonical: https://ross.abutalabs.com/products/learn-natural-language-processing-curriculum
License Family: other
Last push: 2020-10-08T18:08:13+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2620, "days_push": 2155, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1052, forks 294 (observed 2026-08-28T04:03:23.356507+00:00)

## What it is
An 8-week self-study curriculum for learning Natural Language Processing, created by Siraj Raval to accompany his YouTube course. It compiles video lectures, reading assignments, and hands-on projects using Python, PyTorch, and NLTK.

## Use cases
- learn natural language processing from scratch
- find a structured NLP study plan
- get NLP course projects and reading assignments
- study word embeddings and language models
- prepare for an NLP-related job or consulting work
- learn text preprocessing with NLTK

## When to choose
- you want a free, structured self-study path into NLP
- you prefer curated links to lectures, papers, and projects over a single textbook
- you already know Python and basic math (statistics, linear algebra, calculus)

## When to avoid
- you need a maintained library or tool rather than a learning guide
- you want up-to-date coverage of modern LLMs and transformer-based NLP
- you need an officially licensed or actively supported course with instructor help

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, machine-learning
- domain: machine-learning, tutorials
- platform: python
- tags: curriculum, education, siraj-raval, youtube-course, self-study, pytorch, nltk, natural-language-processing

## Member repositories
- llSourcell/Learn-Natural-Language-Processing-Curriculum (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:23.356507+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:59:44.376803+00:00, confidence not recorded.
  - readme: https://github.com/llSourcell/Learn-Natural-Language-Processing-Curriculum (fetched 2026-08-28T04:03:23.356507+00:00, sha 5ca9464e5ba3)
- Data as of 2026-08-30T08:39:29.467469+00:00.