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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Forwarded from Machine Learning
πŸ”– A Comprehensive Resource for Machine Learning Practice

The platform offers:

🫑 1200+ machine learning tasks;
🫑 Mathematics, from linear algebra to PCA;
🫑 Deep Learning, NLP, and Computer Vision;
🫑 Labs with real datasets;
🫑 Learning paths and interview preparation;
🫑 Projects using GPT, RL, and CUDA.

Almost everything can be accessed directly in your browser, and basic tasks are available for free.

⛓️ Link to the platform
https://enghusseinsheikho.substack.com/p/a-comprehensive-resource-for-machine?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

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Forwarded from Data Analytics
If you want to get GOAT-level at software engineering,

save & star these 10 GitHub repos:

1 System design academy

↳ https://github.com/systemdesign42/system-design-academy

2 Public APIs

↳ https://github.com/public-apis/public-apis

3 Tech interview handbook

↳ https://github.com/yangshun/tech-interview-handbook

4 Coding interview university

↳ https://github.com/jwasham/coding-interview-university

5 Engineering leadership

↳ https://github.com/gregorojstersek/resources-to-become-a-great-engineering-leader

6 Freecodecamp

↳ https://github.com/freeCodeCamp/freeCodeCamp

7 Developer roadmaps

↳ https://github.com/kamranahmedse/developer-roadmap

8 Path to senior engineer handbook

↳ https://github.com/jordan-cutler/path-to-senior-engineer-handbook

9 Free programming books

↳ https://github.com/EbookFoundation/free-programming-books

10 Build your own x

↳ https://github.com/codecrafters-io/build-your-own-x

Anything else you'd add?

β™» Repost to help others become better engineers.
https://t.me/DataAnalyticsX πŸ§‘πŸ»β€πŸ’»
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⭐️ If you want to get dangerously good at generative AI,

then save these 10 GitHub repos:

1️⃣ Generative AI for Beginners

β†’ https://github.com/microsoft/generative-ai-for-beginners

2️⃣ LLM Course

β†’ https://github.com/mlabonne/llm-course

3️⃣ Build a Large Language Model From Scratch

β†’ https://github.com/rasbt/LLMs-from-scratch

4️⃣ Prompt Engineering Guide

β†’ https://github.com/dair-ai/Prompt-Engineering-Guide

5️⃣ Awesome LLM Apps

β†’ https://github.com/Shubhamsaboo/awesome-llm-apps

6️⃣ OpenAI Cookbook

β†’ https://github.com/openai/openai-cookbook

7️⃣ Hands-On Large Language Models

β†’ https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

8️⃣ GenAI Agents

β†’ https://github.com/NirDiamant/GenAI_Agents

9️⃣ Awesome Generative AI Guide

β†’ https://github.com/aishwaryanr/awesome-generative-ai-guide

πŸ”Ÿ Anthropic Courses

β†’ https://github.com/anthropics/courses

πŸ’¬ Anything else you'd add to this list?

===

πŸ‘‹ PS - Want my AI Engineering Playbook for FREE?

Get a copy right now:

β†’ https://systemdesign42.github.io/ai-engineering-playbook/

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πŸ”₯ Free IT & Dev Study Kits – 2026 Prep, No Signup

If you’re prepping for cloud, dev, or AI roles this year, these free kits cover the gaps most people skip β€” cert basics, hands-on labs, and mock exams. No signup traps, no hidden fees.

πŸ“˜ Cert E-Book β€” covers Cisco & AWS fundamentals, good for first-time cert takers
β†’ https://bit.ly/4yrk1Ti

πŸͺœ Online Free Course β€” structured path, works as a refresher before exams
β†’ https://bit.ly/4hUprRP

☁️ Free AI Materials β€” LLM basics to fine-tuning practice notebooks
β†’ https://bit.ly/4yt1iXy

πŸ“Š Cloud Study Guide β€” cheat-sheet style, handy for interview prep
β†’ https://bit.ly/4el4Eod

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β†’ https://bit.ly/4sbWlkl

πŸ“Œ Save this or forward it to your dev/study group β€” good resources are worth sharing. πŸ’ͺ

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We found a practical course on applying modern AI methods in astronomy and astrophysics.

It covers neural network architectures, generative models, training on scientific data, simulation-based inference, and research AI agents.

β›“ Link to the course
https://deeplearning4astro.com/

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