متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
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.
67 815
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Transformer: Multi-Head Attention
Math vs Code 👨💻
I made this visualization to show you how to implement the multi-head attention math in PyTorch within 50 LoC.
Multi-Head Attention is what makes the Transformer's performance outstanding.
Is it useful to you❓
📂 Tags: #ML #TRANSFORMER
http://t.me/codeprogrammer ⭐️
Yan Chen - Transformer: Attention by hand ✍️
Is it useful to you❓
📂 Tags: #ML #TRANSFORMER
http://t.me/codeprogrammer ⭐️
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Airdrop in 20/10/2024
Get money from this airdrop and convert $Tomato to usd and subscribe in Coursera grant
This is my way to get resources
I love airdrops
https://t.me/Tomarket_ai_bot/app?startapp=0001oVe7
Airdrop in 20/10/2024
Get money from this airdrop and convert $Tomato to usd and subscribe in Coursera grant
This is my way to get resources
I love airdrops
https://t.me/Tomarket_ai_bot/app?startapp=0001oVe7
Repost from Python Courses & Resources
Add your name to the list of candidates to win free grants, courses, and books by New Year's.
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Pandas ➡️ Polars ➡️ SQL ➡️ PySpark translations:
Is it useful to you❓
📂 Tags: #pandas #Polars #sql #Pyspark
http://t.me/codeprogrammer ⭐️
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Transformer by Hand ✍️ in 5 Minutes with Anna Rahn
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http://t.me/codeprogrammer ⭐️
Web scraping will never be the same!
Crawl4AI simplifies web crawling and data extraction, making it ready to use for LLMs and AI applications.
Here’s why it’s a game-changer:
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But that’s not all:
📚 Extracts metadata from pages
✅ User-agent customization
✅ Takes screenshots of pages
📄 Executes custom JavaScript before crawling
📂 Tags: #python #ML #LLM
http://t.me/codeprogrammer ⭐️
Let's open a new page and restore interaction to normal
We want 100 interactions and I promise you more
LSTM by hand ✍️ Excel
📂 Tags: #python #ML #LSTM
http://t.me/codeprogrammer ⭐️
LSTM by hand ✍️ Excel
📂 Tags: #python #ML #LSTM
http://t.me/codeprogrammer ⭐️
Download Excel file 👇
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Hello, my friends,
The main reason for making some information and resources paid is that no one appreciates the value of the time and effort we spend to obtain the best results and resources for you.
A low number of interactions... a low number of stars.
I don't care about the money, but I want recognition for my efforts.
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This is the link to my paid channel where I provide all resources and information for free.
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Eng. Hussein Sheikho ✅
Repost from Python Courses & Resources
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