# udacity/DSND_Term2

Contains files related to content and project of DSND Term 2

Repository: https://github.com/udacity/DSND_Term2
Canonical: https://ross.abutalabs.com/products/dsnd_term2
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2022-12-06T18:58:39+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": 2989, "days_push": 1366, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1095, forks 1610 (observed 2026-08-28T04:03:34.167827+00:00)

## What it is
Udacity's Data Scientist Nanodegree Term 2 repository containing tutorial Jupyter notebooks and project templates. It covers the data science process, software engineering, ETL/NLP/ML pipelines, and recommendation engines.

## Use cases
- learn data science with jupyter notebooks
- study etl pipeline tutorials
- learn how to build recommendation engines
- find data science project templates
- learn nlp and ml pipelines
- self-study the udacity data scientist curriculum

## When to choose
- you want free structured tutorial notebooks on data science topics
- you are following or reviewing the Udacity Data Scientist Nanodegree curriculum
- you need reference templates for ETL, NLP, ML, or recommendation projects

## When to avoid
- you need production-ready data science tooling rather than educational material
- you expect maintained, up-to-date course content
- you need a redistributable code library - content is under CC BY-NC-ND

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: etl, nlp, machine-learning, data-science
- domain: data-science, tutorials, education, machine-learning
- platform: python
- tags: jupyter-notebooks, udacity, nanodegree, recommendation-engines, course-material

## Member repositories
- udacity/DSND_Term2 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:34.167827+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 2026-08-30T06:47:26.056864+00:00, confidence not recorded.
  - readme: https://github.com/udacity/DSND_Term2 (fetched 2026-08-28T04:03:34.167827+00:00, sha d3f03dfc19de)
- Data as of 2026-08-30T08:39:29.467469+00:00.