Contributing to ML Interview Prep Kit

Thanks for your interest in contributing! This project aims to be a comprehensive, community-driven resource for ML/AI/DS interview preparation.

How to Contribute

Knowledge Base Topics

The knowledge base (ml-ds-llm-fundamentals.md) is the core of this project. To add a new topic:

1. Add a # Topic Name heading with <!-- @mindmap --> metadata block
2. Include a **One-liner**: summary
3. Follow the two-layer structure: quick reference tables + detailed explanation
4. Run make kb-sync to validate and regenerate the mind map

Example structure:

# Your Topic Name
<!-- @mindmap
name: Short Name
category: ML Foundations
related: Related Topic 1, Related Topic 2
children:
  Subtopic 1: Brief description
  Subtopic 2: Brief description
-->

**One-liner**: A concise definition of the topic.

| Concept | Description |
|---------|-------------|
| ...     | ...         |

## Detailed Explanation
...

Coding Practice

Add solutions to coding-practice/by-platform/leetcode/{difficulty}/. Use the template at coding-practice/templates/problem-template.py.

System Design Walkthroughs

Add new system design scenarios to system-design/. Follow the template at system-design/template.md.

Guidelines

• No personal information: Don't include real company names, salary figures, or identifying details
• Run validation: Always run make validate before submitting
• Keep it practical: Focus on interview-relevant content with ready-to-speak phrasing
• One topic per PR: Makes review easier

Development Setup

# Clone the repo
gh repo fork prasanth-ntu/ml-interview-prep-kit --clone
cd ml-interview-prep-kit

# Run validation
make validate

# View mind map locally
make mindmap

Contributors

• Prasanth — Knowledge base, mind map, templates, tooling