# EliotAndres/kaggle-past-solutions

A searchable compilation of Kaggle past solutions

Repository: https://github.com/EliotAndres/kaggle-past-solutions
Canonical: https://ross.abutalabs.com/products/kaggle-past-solutions
Homepage: https://ndres.me/kaggle-past-solutions/
Language: HTML
License: MIT
License Family: permissive
Topics: kaggle, compilation, awesome, data-science
Last push: 2019-12-23T09:17:04+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": 3519, "days_push": 2445, "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 1497, forks 388 (observed 2026-08-28T04:04:53.821168+00:00)

## What it is
A searchable and sortable compilation of winning solutions, interviews, and articles from past Kaggle competitions, published as a website and maintained via a YAML file. It serves as a reference resource for data scientists seeking approaches to similar problems.

## Use cases
- find winning approaches for a Kaggle competition I'm entering
- learn data science techniques from past competition solutions
- search how others solved a similar machine learning problem
- browse solutions by competition type or evaluation metric
- find interviews and write-ups from Kaggle grandmasters

## When to choose
- you want inspiration from proven solutions to data science problems
- you're preparing for a Kaggle competition and want prior winning approaches
- you're learning data science and want real-world examples

## When to avoid
- you need an actively updated index of recent competitions
- you need runnable code rather than links to forum discussions
- you need a tool or library rather than a reference dataset

## Facets
- artifact type: dataset
- maturity: maintenance
- function: search-engine, data-science
- domain: data-science, machine-learning, tutorials, awesome-lists
- platform: -
- tags: kaggle, competition-solutions, curated-list, searchable-index, web-server

## Member repositories
- EliotAndres/kaggle-past-solutions (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:53.821168+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 2026-08-30T04:33:07.445092+00:00, confidence not recorded.
  - readme: https://github.com/EliotAndres/kaggle-past-solutions (fetched 2026-08-28T04:04:53.821168+00:00, sha 5ba68d4865ef)
  - homepage: https://ndres.me/kaggle-past-solutions/ (fetched 2026-08-29T11:38:18.756494+00:00, sha 9d13a517c893)
- Data as of 2026-08-30T08:39:29.467469+00:00.