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Machine Learning with Python

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

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📈 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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🏳️‍🌈 Python became GitHub's first language! 👨🏻‍💻 In a recent GitHub report, with the expansion of artificial intelligenc
🏳️‍🌈 Python became GitHub's first language! 👨🏻‍💻 In a recent GitHub report, with the expansion of artificial intelligence, Python could finally overtake JavaScript and become the most popular language on GitHub in 2024. This happened after 10 years of JavaScript dominance and it is not very strange. ✔️ Because with the growth of artificial intelligence, developers are turning to Python more than ever, and Python's applications in data science and analytics are increasing every day. You can read the full GitHub report here:👇 🐱 Top programming along GitHub ├ 💰 Report I also introduced the most important Python libraries for working with data and AI here: 👇 🖥 Data Manipulation & Analysis ▶️ pandas ▶️ Apache Spark ▶️ Polars ▶️ DuckDB 📊 Data Visualization ➡️ matplotlib ➡️ plotly ➡️ seaborn 🖥 Machine & Deep Learning ➡️ TensorFlow ➡️ PyTorch ➡️ Keras ➡️ scikit-learn ➡️ XGBoost ➡️ LightGBM ➡️ Prophet 🌫 NLP & Large Language Models ➡️ Hugging Face Transformers ➡️ LangChain ➡️ LlamaIndex 🔑 Tags: #PYTHON #AI #ML #NLP https://t.me/CodeProgrammer

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Confusion matrix (TP, FP, TN, FN), clearly explained 🔑 Tags: #PYTHON #AI #ML https://t.me/CodeProgrammer

Convert PDF to docx using Python 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️
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Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform. Students can now access free Coursera scholarships through MAJOR. Don't miss the opportunity: Click here.

A Popular Interview Question: Discriminative vs. Generative Models More Details: https://blog.dailydoseofds.com/p/a-popular-i
A Popular Interview Question: Discriminative vs. Generative Models More Details: https://blog.dailydoseofds.com/p/a-popular-interview-question-discriminative 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️

How LLMs work, clearly explained ⭐ 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️

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Pandas Data Cleaning (Guide) 🔑 Tags: #Pandas #DataCleaning #ML https://t.me/DataScienceM

Pandas Data Cleaning (Guide) 🔑 Tags: #Pandas #DataCleaning #ML https://t.me/DataScienceM ✅
Pandas Data Cleaning (Guide) 🔑 Tags: #Pandas #DataCleaning #ML https://t.me/DataScienceM

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The Brains Behind LLMs: An Introductory Guide to Transformers and Attention Mechanisms https://www.linkedin.com/pulse/brains-
The Brains Behind LLMs: An Introductory Guide to Transformers and Attention Mechanisms https://www.linkedin.com/pulse/brains-behind-llms-introductory-guide-transformers-attention-sa1me

First telegram AI Friend for your Group Chats It can talk so you don't get bored and it can summarize the conversation of you
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