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Machine Learning with Python

Machine Learning with Python

الذهاب إلى القناة على Telegram

Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Machine Learning with Python

تُعد قناة Machine Learning with Python (@codeprogrammer) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 67 815 مشتركاً، محتلاً المرتبة 2 419 في فئة التعليم والمرتبة 5 033 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 67 815 مشتركاً.

بحسب آخر البيانات بتاريخ 12 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 57، وفي آخر 24 ساعة بمقدار 3، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 4.13‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.69‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 2 799 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 149 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 6.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل insidead, learning, degree, evaluation, algorithm.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 13 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.

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CS229 Lectures Notes (2023) By: Andrew Ng & Tengyu Ma Is it useful to you ❓ 📂 Tags: #ML #Ai #RAG #LLM http://t.me/codeprogrammer ⭐️

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Understanding RAG Part I: Why It’s Needed Details: https://machinelearningmastery.com/understanding-rag-part-i-why-its-needed
Understanding RAG Part I: Why It’s Needed Details: https://machinelearningmastery.com/understanding-rag-part-i-why-its-needed/ Is it useful to you ❓ 📂 Tags: #ML #Ai #RAG #LLM http://t.me/codeprogrammer ⭐️

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Repost from Auto Udemy
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explaining the concept of RAG (Retrieval-Augmented Generation) in a simple and easy-to-understand way. Is it useful to you ❓ 📂 Tags: #ML #Ai #RAG #LLM http://t.me/codeprogrammer ⭐️

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25 Most Important Mathematical Definitions in Data Science More details: https://blog.dailydoseofds.com/p/25-most-important-m
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Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform. Students can now access free Coursera scholarships through MAJOR. Don't miss the opportunity: Click here.

We will be giving away free Coursera scholarships starting November of this year. For those who want to register, you must re
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