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 67 813 مشتركاً، محتلاً المرتبة 2 417 في فئة التعليم والمرتبة 5 033 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 67 813 مشتركاً.
بحسب آخر البيانات بتاريخ 11 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 56، وفي آخر 24 ساعة بمقدار 0، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 3.96%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 2.43% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 2 683 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 650 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 12 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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📊 Data Visualization Learning Roadmap
👩🏻💻 Many people ask me where to start to learn "data visualization"?
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📑 Full article by Lisa Charlotte Muth
🔗 Article link: started data visualization
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2️⃣ Books:
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📚 Book: Practical Charts
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☑️ Membership link: DataVis Community
➖➖➖➖➖➖➖➖➖
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🌟 Link: Data Viz Today
🌟 Link: PolicyViz
➖➖➖➖➖➖➖➖➖
5️⃣ Key resources:
📚 Data Visualization Guide: This guide includes great resources for learning and developing data visualization skills.
➖➖➖➖➖➖➖➖➖
6️⃣ Training courses:
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📣 Information design /storytelling with data in Illustrator.
📣 Data Visualization / This course provides creative tools and techniques for visualization.
➖➖➖➖➖➖➖➖➖
7️⃣ Data visualization tools:
⬅️ Link: Scimago Graphica
⬅️ Link: Datawrapper
⬅️ Link: Flourish
⬅️ Link: Tableau Public
⬅️ Link: RStudio & Python
https://t.me/CodeProgrammer ✅
👩💻 A simple explanation of working with list in Python!
https://t.me/CodeProgrammer ✅
👩💻 algorithms is a useful repository with a collection of algorithms implemented in Python!
🌟 It covers a wide range of algorithmic topics, including sorting, searching, graph manipulation, data structures, dynamic programming, cryptography, and more. The main goal of the repository is to provide an educational resource for learning algorithms and improving programming skills.
🔐 License: MIT
🖥 Github
https://t.me/CodeProgrammer ✅
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