This repository offers a curated collection of data science interview questions and answers, categorized for easy reference. It serves as a valuable resource for aspiring and practicing data scientists aiming to prepare for technical interviews and reinforce fundamental concepts.

How It Works

The project aggregates daily data science interview questions sourced from the creator's LinkedIn initiative and contributions from their network. Questions are categorized into machine learning, deep learning, statistics, probability, Python, SQL, computer vision, LLMs, and resume-based topics, with answers provided for each.

Quick Start & Requirements

• Access questions and answers directly via the GitHub repository or linked Medium articles.
• No specific installation or dependencies are required; it's a content repository.

Highlighted Details

• Daily updates with new questions and answers.
• Comprehensive coverage across seven key data science domains.
• Community-driven content sourcing via LinkedIn and email contributions.
• Includes specialized categories like LLMs and Computer Vision.

Maintenance & Community

• Initiated and maintained by Youssef Hosni.
• Open to community contributions via LinkedIn or email.
• Links to Medium articles for consolidated content access.

Licensing & Compatibility

• The repository does not explicitly state a license.

Limitations & Caveats

The lack of a specified license may pose compatibility issues for commercial use or integration into proprietary projects. The content is primarily text-based and relies on external platforms like LinkedIn and Medium for community engagement and content dissemination.