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
الشبكة:📈 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 68 114 مشتركاً، محتلاً المرتبة 2 374 في فئة التعليم والمرتبة 4 765 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 68 114 مشتركاً.
بحسب آخر البيانات بتاريخ 28 أغسطس, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 75، وفي آخر 24 ساعة بمقدار -18، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 4.69%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.70% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 3 194 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 155 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 29 أغسطس, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
68 114
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Amazing NumPy Cheat Sheet Snippet with 100 exercises for practicing the concept to get hands on to clear the coding round in the interviews
#NumPy #codingexams
https://t.me/DataScienceM
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Learn Complete #MatPlotLib with most asked #interview questions
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Create a Wi-Fi QR code in Python in a couple of seconds
pip install wifi_qrcode_generatorimport wifi_qrcode_generator.generator
from PIL import Image
ssid = "CLCoding_WIFI"
password = "supersecret123"
security = "WPA"
from wifi_qrcode_generator.generator import wifi_qrcode
qr = wifi_qrcode(ssid, False, security, password)
qr.make_image().save("wifi_qr.png")
Image.open("wifi_qr.png")❔ Interview question
What do
globals() and locals() do?
Answer: Functions globals() and locals() return a dictionary with variables of the current scope.
▶️ globals() — provides access to all global names in the current module (i.e., variables, functions, and classes defined at the top level)
▶️ locals() — returns local variables in the current context: inside a function, class, or block
They are useful for dynamic analysis, debugging, metaprogramming, and when working with eval() / exec().
tags: #interview
➡ @codeprogrammerYour interaction with us drives us more free information and knowledge
This GitHub repo is a gold mine for EVERY data scientist!
(full of hands-on and interactive tutorials)
DS Interactive Python provides several dashboards to interactively learn about statistics, ML models, and other related theoretical concepts!
Some key topics you can understand interactively:
• PCA
• Bagging and boosting
• Linear regression and OLS
• Bayesian and frequentist statistics
• confidence intervals
• clustering (kmeans, spectral clustering, etc.)
• central limit theorem
• neural networks (the backpropagation animation is really good)
• and many more.
Link: https://github.com/GeostatsGuy/DataScienceInteractivePython
https://t.me/CodeProgrammer
Repost from Python Courses & Resources
Create artificial intelligence using Python
In the video the author explains the basics of neural networks and shows how to implement your own simple #AI from scratch in #Python
https://t.me/Python53
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