Machine Learning with Python – Telegram
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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Build your own AI agent from scratch for free in 5 minutes

In this article, I will show you how to build your first AI agent from scratch using Google’s ADK (Agent Development Kit). This is an open-source framework that makes it easier to create agents, test them, add tools, and even build multi-agent systems.

Read: https://habr.com/en/articles/974212/

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These Google Colab-notebooks help to implement all machine learning algorithms from scratch 🤯

Repo: https://udlbook.github.io/udlbook/


👉 @codeprogrammer
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💛 Top 10 Best Websites to Learn Machine Learning ⭐️
by [@codeprogrammer]

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🧠 Google’s ML Course
🔗 https://developers.google.com/machine-learning/crash-course

📈 Kaggle Courses
🔗 https://kaggle.com/learn

🧑‍🎓 Coursera – Andrew Ng’s ML Course
🔗 https://coursera.org/learn/machine-learning

⚡️ Fast.ai
🔗 https://fast.ai

🔧 Scikit-Learn Documentation
🔗 https://scikit-learn.org

📹 TensorFlow Tutorials
🔗 https://tensorflow.org/tutorials

🔥 PyTorch Tutorials
🔗 https://docs.pytorch.org/tutorials/

🏛️ MIT OpenCourseWare – Machine Learning
🔗 https://ocw.mit.edu/courses/6-867-machine-learning-fall-2006/

✍️ Towards Data Science (Blog)
🔗 https://towardsdatascience.com

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💡 Which one are you starting with? Drop a comment below! 👇
#MachineLearning #LearnML #DataScience #AI

https://news.1rj.ru/str/CodeProgrammer 🌟
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ML engineers, take note: structured ML reference guide

Link: https://ml-cheatsheet.readthedocs.io/en/latest/

There are no courses, no redundant theory, and no lengthy lectures here, but there are clear formulas, algorithms, the logic of ML pipelines, and a neatly structured knowledge base.

👉 @codeprogrammer
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