# aws-samples/aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

Repository: https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp
Canonical: https://ross.abutalabs.com/products/aws-machine-learning-university-accelerated-nlp
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Topics: machine-learning, natural-language-processing, deep-learning, python, gluon, mxnet, sklearn
Last push: 2024-10-13T00:49:31+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": 2218, "days_push": 690, "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 2433, forks 630 (observed 2026-08-28T04:06:51.192712+00:00)

## What it is
A free course from AWS Machine Learning University covering accelerated Natural Language Processing, with slides, Jupyter notebooks, datasets, and YouTube lecture videos. It teaches text processing, bag-of-words, KNN, tree-based models, and regression applied to NLP problems.

## Use cases
- learn natural language processing from scratch
- find an NLP course with hands-on notebooks
- study machine learning text classification techniques
- self-study NLP with video lectures and labs
- get course materials for teaching an NLP class
- practice NLP with real-world datasets

## When to choose
- you want a structured, free NLP curriculum with videos and labs
- you prefer learning via Jupyter notebooks and hands-on projects
- you are a beginner to intermediate learner in ML/NLP

## When to avoid
- you need production NLP tooling or a software library
- you want modern transformer/LLM-focused content
- you need a permissively licensed codebase to reuse

## Facets
- artifact type: learning-resource
- maturity: stable
- function: nlp, machine-learning, deep-learning
- domain: machine-learning, education, tutorials
- platform: python, cross-platform
- tags: jupyter-notebooks, course-material, mxnet, gluon, sklearn, aws, video-lectures, natural-language-processing

## Member repositories
- aws-samples/aws-machine-learning-university-accelerated-nlp (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:51.192712+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 2026-08-30T02:31:09.423197+00:00, confidence not recorded.
  - readme: https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp (fetched 2026-08-28T04:06:51.192712+00:00, sha 54c816be5faa)
- Data as of 2026-08-30T08:39:29.467469+00:00.