Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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🖥 Large Language Model Course

The popular free LLM course has just been updated.

This is a step-by-step guide with useful resources and notebooks for both beginners and those who already have an ml-base.

The course is divided into 3 parts:
1️⃣ LLM Fundamentals : The block provides fundamental knowledge of mathematics, Python and neural networks.
2️⃣ LLM Scientist : This block focuses on the internal structure of LLMs and their creation using the latest technologies and frameworks.
3️⃣ The LLM Engineer : Here you will learn how to write applications in a hands-on way and how to deploy them.

⭐️ 41.4k stars on Github

📌 https://github.com/mlabonne/llm-course

#llm #course #opensource #ml

https://xn--r1a.website/CodeProgrammer 👑
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Free course on learning deep learning concepts

A conceptual and architectural journey through computer vision models in #deeplearning, tracing the evolution from LeNet and AlexNet to ResNet, EfficientNet, and Vision Transformers.

The #course explains the design principles behind skip connections, bottleneck blocks, identity preservation, depth/width trade-offs, and attention.

Each chapter combines clear illustrations, historical context, and side-by-side comparisons to show why architectures look the way they do and how they process information.

Grab it on YouTube
https://youtu.be/tfpGS_doPvY?si=1L_NvEm3Lwpj_Jgl

👉 @codeprogrammer
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Forwarded from Github Top Repositories
🌟 DataTalksClub/data-engineering-zoomcamp caught my eye on GitHub Trending today.

🔗 https://github.com/DataTalksClub/data-engineering-zoomcamp
📝 Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
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The Data Engineering Zoomcamp is a free 9-week course that covers the fundamentals of data engineering. It's designed to help you build an end-to-end data pipeline from scratch, with hands-on experience using industry-standard tools and best practices.

Key features of the course include structured modules, hands-on workshops, and a final project to reinforce your learning. You'll learn about containerization, infrastructure as code, workflow orchestration, data warehousing, and analytics engineering.

The course is suitable for anyone with basic coding experience and familiarity with SQL. No prior data engineering experience is necessary. You can enroll in the course by registering for the next cohort or following the self-paced learning path.

The course has a strong community and support system, with a dedicated #course-data-engineering channel on Slack for discussions and troubleshooting.

The course is taught by experienced instructors, including Alexey Grigorev and Michael Shoemaker, and is sponsored by companies like Kestra and Bruin.

Overall, the Data Engineering Zoomcamp is a great resource for anyone looking to learn data engineering fundamentals and build a career in the field.
So, what are you waiting for? Join the course and start building your skills today - it's a free 9-week course that can change your career!

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🧠 Channel: https://xn--r1a.website/GithubRe
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