DS-AI-GATE/dsai-gate

What it solves

This project provides a centralized, community-maintained hub for students preparing for the GATE (Graduate Aptitude Test in Engineering) exam in the Data Science and Artificial Intelligence (DA) paper. It eliminates the need to hunt for scattered materials by aggregating syllabus-aligned study resources, practice problems, and previous year papers in one place.

How it works

The repository is organized by the official GATE DA syllabus topics, such as Linear Algebra, Machine Learning, and Database Management. Each topic has a dedicated section containing theoretical notes, links to external courses, Python code examples, and practice exercises. The content is accessible both directly through the GitHub repository and via an interactive web-based explorer.

Who it’s for

It is designed for students and professionals preparing for the GATE Data Science and AI exam who want a structured, collaborative, and open-source study guide to track their progress and access high-quality learning materials.

Highlights

• Comprehensive coverage of the full GATE DA syllabus, from probability to AI search algorithms.
• Includes practical Python code snippets and tutorials for hands-on learning.
• Provides access to official previous year question papers and answer keys.
• Features an interactive syllabus explorer hosted on GitHub Pages.
• Encourages community collaboration through pull requests and a dedicated contributor guide.