# faridrashidi/kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

Repository: https://github.com/faridrashidi/kaggle-solutions
Canonical: https://ross.abutalabs.com/products/kaggle-solutions
Homepage: https://kaggle.farid.one
Language: Astro
License: MIT
License Family: permissive
Topics: kaggle, competition, solutions, data-science, machine-learning, data-mining, ai, deep-learning, awesome-list
Last push: 2026-08-06T22:48:14+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 96, release rhythm 35, longevity 100
- inputs: {"age_days": 2838, "days_push": 27, "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 6501, forks 2363 (observed 2026-08-28T04:09:43.883029+00:00)

## What it is
A curated, searchable archive of winning solutions, write-ups, notebooks, and discussions from hundreds of Kaggle competitions, published as an Astro-based static website. It serves as a living learning resource for competitive machine learning, updated as competitions conclude.

## Use cases
- find winning solutions for a kaggle competition
- learn how top kagglers approach tabular and NLP problems
- study write-ups before entering a data science competition
- browse kaggle competition solutions by category and year
- find tutorial notebooks for machine learning techniques
- keep a personal fork of kaggle solution notes

## When to choose
- you want a comprehensive, categorized index of Kaggle competition write-ups and code
- you are preparing for a Kaggle competition and want to study past winners
- you want a regularly updated archive of competitive ML knowledge

## When to avoid
- you need runnable ML libraries or frameworks rather than curated links and notes
- you want official Kaggle documentation or courses
- you need solutions guaranteed for a specific competition not yet archived

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-science, machine-learning, deep-learning, documentation
- domain: data-science, machine-learning, tutorials, awesome-lists
- platform: cross-platform
- tags: kaggle, competition-solutions, curated-list, astro, static-site, web-server

## Member repositories
- faridrashidi/kaggle-solutions (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:43.883029+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 2026-08-29T17:44:29.582202+00:00, confidence not recorded.
  - readme: https://github.com/faridrashidi/kaggle-solutions (fetched 2026-08-28T04:09:43.883029+00:00, sha a8efaf225873)
  - homepage: https://kaggle.farid.one (fetched 2026-08-29T08:41:06.433240+00:00, sha d2208c80a0cd)
- Data as of 2026-08-30T08:39:29.467469+00:00.