# thismlguy/analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

Repository: https://github.com/thismlguy/analytics_vidhya
Canonical: https://ross.abutalabs.com/products/analytics_vidhya
Language: Jupyter Notebook
License Family: other
Last push: 2019-11-15T14:44:24+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3866, "days_push": 2483, "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 1193, forks 1689 (observed 2026-08-28T04:03:56.497270+00:00)

## What it is
A collection of Jupyter Notebook code from Analytics Vidhya activities, including articles, hackathon solutions, and discussions. It serves as a reference repository of data science and machine learning examples rather than a packaged tool.

## Use cases
- learning data science through worked notebook examples
- finding solutions to Analytics Vidhya hackathon problems
- studying machine learning techniques from article code
- referencing exploratory data analysis patterns
- preparing for data science competitions

## When to choose
- you want example notebooks to learn ML and data science techniques
- you are following an Analytics Vidhya article or hackathon and need the accompanying code

## When to avoid
- you need a production-ready library or maintained package
- you require a licensed, supported dependency in your project

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, machine-learning
- domain: data-science, machine-learning, tutorials
- platform: python
- tags: jupyter-notebooks, analytics-vidhya, hackathons, kaggle-style-competitions, educational-code

## Member repositories
- thismlguy/analytics_vidhya (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:56.497270+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 2026-08-30T06:22:26.543071+00:00, confidence not recorded.
  - readme: https://github.com/thismlguy/analytics_vidhya (fetched 2026-08-28T04:03:56.497270+00:00, sha 26c5d642f798)
- Data as of 2026-08-30T08:39:29.467469+00:00.