متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
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 67 816 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 67 816 مشتركاً.
بحسب آخر البيانات بتاريخ 10 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 49، وفي آخر 24 ساعة بمقدار -10، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
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- وصول المنشورات: يحصل كل منشور على متوسط 1 770 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 628 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 7.
- 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 11 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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أرشيف المشاركات
10 Must-Know Python Libraries for LLMs in 2025
Large language models (LLMs) are changing the way we think about AI. They help with #chatbots, text generation, and search tools, among other natural language processing tasks and beyond. To work with #LLMs, you need the right #Python libraries.
In this article, we explore 10 of the Python libraries every developer should know in 2025.
Read and learn:
https://machinelearningmastery.com/10-must-know-python-libraries-for-llms-in-2025/
https://t.me/CodeProgrammer ✅
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This free 10-part course on #GitHub will guide you from concept to #code as you start building #AI #agents:
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🔍 Free Data Analytics Courses by Microsoft
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https://learn.microsoft.com/en-us/training/paths/intro-to-vc-git/
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https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/
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"Introduction to Python Programming"
This 415-pages #FREE book is perfect if you are starting your #Python journey.
Download book: https://t.co/aMLeAQre6r
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🔖 The book that paved the way for me to "data science"!
👨🏻💻 "Where do I start now?" This was the first and biggest question I faced when I started my Data Science learning journey!
⏪ I was really overwhelmed by the large number of scattered sources, long courses, and specialized books full of heavy terminology. I didn't know how to start and move forward in this direction...
✔️ But the book Intro to Data Science with Python changed everything for me and gave me a new perspective!
✏️ This book is a complete guide to starting from scratch and is great for both beginners and professionals in this field!! From coding with Python to working with data, visualization, and even AI tools, it explains everything in the simplest and most practical way possible.
💸 A great start for anyone looking to learn data science with Python!👇
┌ 🏳️🌈 Intro to Data Science with Python
├ 📄 E-book
└ 🐱 GitHub-Repos
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras https://t.me/CodeProgrammer ✅
Machine Learning from Scratch by Danny Friedman
This book is for readers looking to learn new machine learning algorithms or understand algorithms at a deeper level. Specifically, it is intended for readers interested in seeing machine learning algorithms derived from start to finish. Seeing these derivations might help a reader previously unfamiliar with common algorithms understand how they work intuitively. Or, seeing these derivations might help a reader experienced in modeling understand how different algorithms create the models they do and the advantages and disadvantages of each one.
This book will be most helpful for those with practice in basic modeling. It does not review best practices—such as feature engineering or balancing response variables—or discuss in depth when certain models are more appropriate than others. Instead, it focuses on the elements of those models.
🌟 Link: https://dafriedman97.github.io/mlbook/content/introduction.html
#DataScience #MachineLearning #CheatSheet #stats #analytics #ML #IA #AI #programming #code #rstats #python #deeplearning #DL #CNN #Keras #R https://t.me/CodeProgrammer ✅
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We only accept payments via PayPal and cryptocurrencies.
Contact:
t.me/HusseinSheikho ✅
⚡ Special Offer for 3 Days:
Join our exclusive (paid) channel for a lifetime and get your own bot to download over a million books with daily updates, and a special bot to download more than 80 million scientific articles, all for just $30, a one-time payment only.
The paid channel includes a vast encyclopedia of the most famous books and training courses in all fields of data science and programming languages.
We only accept payments via PayPal and cryptocurrencies.
Contact:
t.me/HusseinSheikho ✅
Special Offer for 3 Days:
Join our exclusive (paid) channel for a lifetime and get your own bot to download over a million books with daily updates, and a special bot to download more than 80 million scientific articles, all for just $30, a one-time payment only.
The paid channel includes a vast encyclopedia of the most famous books and training courses in all fields of data science and programming languages.
We only accept payments via PayPal and cryptocurrencies.
Contact
t.me/HusseinSheikho
Top_100_Machine_Learning_Interview_Questions_Answers_Cheatshee.pdf5.83 MB
Top 100 Machine Learning Interview Questions & Answers Cheatshee
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The Roadmap for Mastering Language Models in 2025
Link: https://machinelearningmastery.com/the-roadmap-for-mastering-language-models-in-2025/
💠Machine learning
🔸 Deep learning
💠LLM models
https://t.me/Machine_learn
