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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💾 6 AI courses from Anthropic for free

If you work with AI, agents, or APIs, this is the foundation that developers in top companies are currently going through.

▶️ Working with the Claude API
https://anthropic.skilljar.com/claude-with-the-anthropic-api 


▶️ Introduction to Model Context Protocol (MCP)
https://anthropic.skilljar.com/introduction-to-model-context-protocol 


▶️ Claude in Amazon Bedrock
https://anthropic.skilljar.com/claude-in-amazon-bedrock 


▶️ Claude in Google Cloud (Vertex AI)
https://anthropic.skilljar.com/claude-with-google-vertex 


▶️ Advanced MCP
https://anthropic.skilljar.com/model-context-protocol-advanced-topics 


▶️ Claude Code in Practice
https://anthropic.skilljar.com/claude-code-in-action 


tags: #courses #ai

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🤖 Best GitHub repositories to learn AI from scratch in 2026

If you want to understand AI not through "vacuum" courses, but through real open-source projects - here's a top list of repos that really lead you from the basics to practice:

1) Karpathy – Neural Networks: Zero to Hero 
The most understandable introduction to neural networks and backprop "in layman's terms"
https://github.com/karpathy/nn-zero-to-hero

2) Hugging Face Transformers 
The main library of modern NLP/LLM: models, tokenizers, fine-tuning 
https://github.com/huggingface/transformers

3) FastAI – Fastbook 
Practical DL training through projects and experiments 
https://github.com/fastai/fastbook

4) Made With ML 
ML as an engineering system: pipelines, production, deployment, monitoring 
https://github.com/GokuMohandas/Made-With-ML

5) Machine Learning System Design (Chip Huyen) 
How to build ML systems in real business: data, metrics, infrastructure 
https://github.com/chiphuyen/machine-learning-systems-design

6) Awesome Generative AI Guide 
A collection of materials on GenAI: from basics to practice 
https://github.com/aishwaryanr/awesome-generative-ai-guide

7) Dive into Deep Learning (D2L) 
One of the best books on DL + code + assignments 
https://github.com/d2l-ai/d2l-en

Save it for yourself - this is a base on which you can really grow into an ML/LLM engineer.

#Python #datascience #DataAnalysis #MachineLearning #AI #DeepLearning #LLMS

https://t.iss.one/CodeProgrammer
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🌟 Generative AI Training for Beginners

A course from Microsoft with 21 lessons covering the basics of creating applications based on generative AI. Each lesson includes theory and practical examples in Python and TypeScript, allowing you to learn at a comfortable pace.

🚀 Key features:
- 21 lessons on generative #AI
- Support for Python and TypeScript
- Lessons with theory and practical tasks
- Additional resources for in-depth study
- Multilingual support

📌 GitHub: https://github.com/microsoft/generative-ai-for-beginners

#python #LLMS #generative_Ai

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