Welcome to the AI-ML-DS Interview Prep repository — a curated and structured resource designed to help you prepare for technical interviews in Artificial Intelligence, Machine Learning, and Data Science roles.
This is a modular, topic-based guide to build, refresh, and test your knowledge across core areas typically covered in interviews:
- 🧠 AI: Search, logic, planning, knowledge representation
- 🤖 ML: Supervised/unsupervised learning, metrics, pipelines
- 📊 Data Science: Statistics, EDA, visualization, business use-cases
- 💻 Coding exercises: Python, Leetcode-style problems, notebooks
- 🧩 System design & deployment basics
- 💬 Behavioral & soft skill preparation
Everything is organized to support self-paced learning, interview revision, and quick lookup before interviews.
Whether you're:
- A beginner entering the AI/ML/DS space,
- A job-seeker preparing for upcoming interviews,
- Or a practitioner brushing up on fundamentals,
this repo brings together theory, practice, and real-world questions into one structured space — avoiding the chaos of scattered bookmarks and half-finished courses.
- Start with the
01_Theory/folder to review core concepts across AI, ML, and DS. - Use the
02_Practical_Skills/section to get hands-on with common tools and workflows. - Practice coding with problems in
03_Coding_Exercises/, including Jupyter notebook templates. - Go through common interview patterns, scenarios, and system design discussions in
04_Interview_Questions/. - Use the
Resources/folder to explore curated books, courses, and mock interview links.
💡 Pro tip: Clone the repo locally or star it to keep track of progress and customize notes or templates.
We’ve compiled some great materials to help you go deeper:
- 📘 Books – Top reads in ML, AI, and statistics
- 🎓 Courses – Beginner to advanced certifications
- 📄 Cheatsheets – For last-minute revision
- 🎥 Mock Interviews – YouTube and platform-based links
This section will help latest additions only. See the Resources/ folder for the full list.
This repo is open for contributions! If you have:
- Better explanations
- Real interview questions you’ve encountered
- Clarified answers
- Jupyter notebooks
- Links to great resources
... I’d love to have your input!
- Fork this repo
- Create a new branch
- Make your changes
- Submit a Pull Request (PR)
- Add a short description of what you added/changed
If you find this helpful:
- Give the repo a ⭐️
- Share it with your peers
- Drop an issue or suggestion anytime
Let’s grow this into a go-to resource for AI, ML, and DS interviews together 🚀
Made with love ❤️ by Naveen Garg i.e. @CodeNaveen