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‎_questions/machine-learning-zoomcamp/general/001_0e38656cfb_how-do-i-submit-homework.md‎

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question: How do I submit homework?
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- Do the tasks locally
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- Publish your code (e.g., in your own GitHub repo)
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- Submit your answers via the homework form and include the URL to your code
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- Answers are revealed after the deadline closes
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- Homeworks are in the cohorts folder, e.g. for 2025 it's cohorts/2025 (https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master/cohorts/2025)
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- The forms for submitting the homework are in the course management platform: https://courses.datatalks.club/

‎_questions/machine-learning-zoomcamp/general/001_226a4baf2f_whats-new-2025-edition.md‎

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question: What’s new in the 2025 edition?
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- Deployment module updated to **FastAPI** (replacing Flask) and new tools.
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- Neural networks taught with **PyTorch** (theory videos in Keras are kept; an additional PyTorch implementation video is provided).
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- Deep learning deployment uses **ONNX Runtime** on AWS Lambda (replacing TensorFlow Lite).

‎_questions/machine-learning-zoomcamp/general/001_9cf1c56e5b_should-i-star-the-github-repo.md‎

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question: Should I star the GitHub repo?
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Yes, please star the repository: https://github.com/DataTalksClub/machine-learning-zoomcamp/. Starring helps it trend so others can discover the course, and the instructor explicitly asks attendees to star it to boost visibility.

‎_questions/machine-learning-zoomcamp/general/001_c7e2b1ef88_no-prior-ml-experience.md‎

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question: Do I need prior machine learning experience?
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No. The course starts from first principles. We do an introduction to ML, a gentle math refresher (only what you need), and the basics of linear algebra taught via code. You can begin with zero ML background and ramp up through hands-on exercises.

‎_questions/machine-learning-zoomcamp/general/003_ef6fba8f4d_prerequisites-terminal-docker.md‎

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question: What other prerequisites should I have?
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- Be ready to use the terminal. You’ll use Git, the command line, Docker, and basic OS tasks. These are demonstrated in the course, but you should be comfortable running commands and reading errors.
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- If you’re new to any of these tools, consider a quick hands-on practice session before the course starts.
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- You don’t need to master everything before day one, but a basic comfort level with the command line will help you keep up as you learn.

‎_questions/machine-learning-zoomcamp/general/005_30bf904a5b_do-i-need-to-know-python.md‎

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question: Do I need to know Python already?
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Not strictly required, but you must be comfortable programming. If you know another major language (Java, JavaScript, Rust, etc.), you’ll pick up the small subset of Python we use. Expect a lot of coding and 'code-along' sessions.

‎_questions/machine-learning-zoomcamp/general/015_1a4a7bd286_homeworks-optional-certification.md‎

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question: Are homeworks required to get the certificate?
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Homeworks are optional for certification, but strongly recommended to check understanding. Certification is based on projects, not homework scores.

‎_questions/machine-learning-zoomcamp/general/016_679b977c92_i-just-joined-what-should-i-do-next-how-can-i-acce.md‎

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‎_questions/machine-learning-zoomcamp/general/016_679b977c92_where-materials.md‎

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question: Where do I find all course materials and links?
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- All course materials live in the main ML Zoomcamp GitHub repository: https://github.com/DataTalksClub/machine-learning-zoomcamp/
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- Modules are folders for each unit, with a README/markdown per unit, plus videos and notes.
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- Cohort-specific items (homework and dates) are under cohorts/2025/.
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- The YouTube playlist "Machine Learning Zoomcamp" contains all lessons.
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- For quick access, browse the repo, check the modules folders, and look in cohorts/2025 for cohort-specific items. The syllabus is also available at mlzoomcamp.com/#syllabus.

‎_questions/machine-learning-zoomcamp/general/100_7c7ec892e4_certificate-timeline.md‎

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question: Can I finish early and get the certificate in under four months?
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No. Project timelines structure the cohort. The earliest certificates typically land around **January** (after Capstone 1/2 windows and reviews).

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