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
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 68 475 مشتركاً، محتلاً المرتبة 2 406 في فئة التعليم والمرتبة 4 586 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 68 475 مشتركاً.
بحسب آخر البيانات بتاريخ 03 نوفمبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -74، وفي آخر 24 ساعة بمقدار 12، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 4.07%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.55% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 2 789 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 062 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 8.
- 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 04 نوفمبر, 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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أرشيف المشاركات
🤩 Helpful Cheat Sheets Compilation
Including Pandas, NumPy, Matplotlib, Seaborn, and others
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📂 Tags: #ML #AI #Python
http://t.me/codeprogrammer ⭐️
Cat Dataset 😻
Over 9,000 images of cats with annotated facial features
Context:
The CAT dataset includes over 9,000 cat images. For each image, there are annotations of the head of cat with nine points, two for eyes, one for mouth, and six for ears.
🎲 From: Kaggle
🤖 Size: 4.04 GB
🔃 https://t.me/datasets1
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Hidden Layer
AI by Hand ✍️ Workbook - 25 Answers 🏋️♀️
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Hidden Layer
AI by Hand ✍️ Workbook - 25 Exercises 🏋️♀️
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Repost from ML - DS/DA/DE - AI [Jobs, InterviewPrep] 🇮🇳
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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.
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Yan Chen - Transformer: Attention by hand ✍️
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Airdrop in 20/10/2024
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Repost from Python Courses & Resources
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Pandas ➡️ Polars ➡️ SQL ➡️ PySpark translations:
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📂 Tags: #pandas #Polars #sql #Pyspark
http://t.me/codeprogrammer ⭐️
