# DS-AI-GATE/dsai-gate

A Repository consisting resources primarily of the Gate DA and AI

Repository: https://github.com/DS-AI-GATE/dsai-gate
Canonical: https://ross.abutalabs.com/products/dsai-gate
Homepage: https://ds-ai-gate.github.io/dsai-gate/
Language: Jupyter Notebook
License: Unlicense
License Family: permissive
Last push: 2026-08-20T11:55:38+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 35, longevity 79
- inputs: {"age_days": 1107, "days_push": 13, "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 2230, forks 501 (observed 2026-08-28T04:06:28.880669+00:00)

## What it is
A community-maintained, awesome-list-style collection of syllabus-aligned study resources, notebooks, and practice material for the GATE Data Science and Artificial Intelligence (DA) exam. It includes an interactive GitHub Pages syllabus explorer covering seven subjects from probability to AI.

## Use cases
- prepare for the GATE DA (Data Science and AI) exam
- find curated books, courses, and notes for probability and statistics
- track revision progress across the GATE DSAI syllabus
- practice MCQs and previous year questions for GATE DA
- learn machine learning and AI fundamentals for entrance exams
- contribute study material to an open-source exam prep resource

## When to choose
- you are preparing specifically for the GATE Data Science and AI paper
- you want a single curated hub of syllabus-aligned resources with an interactive explorer
- you prefer community-vetted links to books, NPTEL courses, and notebooks

## When to avoid
- you need a software tool or library rather than study material
- you are preparing for a different exam or need full production-ready course content
- you require complete, polished coverage - the repo is still a work in progress

## Facets
- artifact type: learning-resource
- maturity: experimental
- function: documentation, developer-tools
- domain: artificial-intelligence, data-science, machine-learning, education, tutorials, awesome-lists
- platform: python
- tags: gate-exam, exam-preparation, syllabus-explorer, study-notes, curated-resources, jupyter-notebooks, probability, linear-algebra, dbms, web

## Member repositories
- DS-AI-GATE/dsai-gate (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:28.880669+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 2026-08-30T02:44:37.258403+00:00, confidence not recorded.
  - readme: https://github.com/DS-AI-GATE/dsai-gate (fetched 2026-08-28T04:06:28.880669+00:00, sha 4c9fe1dcee8d)
  - homepage: https://ds-ai-gate.github.io/dsai-gate/ (fetched 2026-08-29T10:25:18.647637+00:00, sha 6c2b5c730b86)
- Data as of 2026-08-30T08:39:29.467469+00:00.