# dataquestio/project-walkthroughs

Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio .

Repository: https://github.com/dataquestio/project-walkthroughs
Canonical: https://ross.abutalabs.com/products/project-walkthroughs
Language: Jupyter Notebook
License Family: other
Topics: data-science, machine-learning, pandas, python
Last push: 2023-08-05T08:04:42+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": 1734, "days_push": 1124, "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 1112, forks 1149 (observed 2026-08-28T04:03:37.879933+00:00)

## What it is
A collection of Jupyter notebooks, code, and datasets accompanying Dataquest's live project walkthroughs on YouTube. It guides learners through building complete end-to-end data science and machine learning projects for their portfolios.

## Use cases
- learn data science through guided projects
- build portfolio projects in python and pandas
- practice machine learning with real datasets
- follow along with dataquest youtube walkthroughs
- improve pandas and data cleaning skills

## When to choose
- you want end-to-end guided projects to build a data science portfolio
- you are learning pandas and machine learning fundamentals
- you want to follow along with Dataquest's YouTube walkthroughs

## When to avoid
- you need production-ready or maintained software
- you want advanced or cutting-edge machine learning techniques
- you need a licensed library for commercial use

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, machine-learning, data-visualization
- domain: data-science, machine-learning, education, tutorials
- platform: python
- tags: jupyter-notebooks, pandas, portfolio-projects, youtube-walkthroughs, dataquest

## Member repositories
- dataquestio/project-walkthroughs (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:37.879933+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 2026-08-30T06:42:42.897881+00:00, confidence not recorded.
  - readme: https://github.com/dataquestio/project-walkthroughs (fetched 2026-08-28T04:03:37.879933+00:00, sha 24f37c382cfb)
- Data as of 2026-08-30T08:39:29.467469+00:00.