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Machine Learning & Artificial Intelligence | Data Science Free Courses

Machine Learning & Artificial Intelligence | Data Science Free Courses

الذهاب إلى القناة على Telegram

Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Machine Learning & Artificial Intelligence | Data Science Free Courses

تُعد قناة Machine Learning & Artificial Intelligence | Data Science Free Courses (@datasciencefree) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 66 668 مشتركاً، محتلاً المرتبة 2 475 في فئة التعليم والمرتبة 435 في منطقة ماليزيا.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 66 668 مشتركاً.

بحسب آخر البيانات بتاريخ 18 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 676، وفي آخر 24 ساعة بمقدار 20، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 1.12‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.51‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 750 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 007 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 5.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل sellerflash, waybienad, pricing, buybox, buyer.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 19 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.

66 668
المشتركون
+2024 ساعات
+1517 أيام
+67630 أيام
أرشيف المشاركات
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Take Control of Selling in Amazon! 💫Too many tools, too little time? With dynamic pricing, real-time stock tracking, order m
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Take Control of Selling in Amazon! 💫Too many tools, too little time? With dynamic pricing, real-time stock tracking, order m
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If Data Science Tools Were Characters… 🧠🔍 📝 Excel — The Office Guy Knows a bit of everything. Not flashy, but still gets the job done (until it crashes at 1M rows). 🤦‍♂️ 🐍 Python — The All-Rounder Writes poetry, builds models, scrapes web, visualizes data… and still has time for coffee. ☕ 📊 Tableau — The Artist Can turn boring data into jaw-dropping dashboards. Looks good, speaks in visuals. 🎨 🧮 R — The Statistician Loves hypothesis tests and plots. Bit quirky, but unmatched in analysis. 🤓 🏗 SQL — The Architect Knows where everything is stored. Can fetch exactly what you need… if you ask just right. 🏛️ 🎯 Scikit-learn — The Model Trainer Logistic, decision trees, clustering—you name it. Works fast, plays well with Python. ⚙️ 🧠 TensorFlow/PyTorch — The Gym Bro Lifts heavy deep learning weights. Complex but powerful. Needs proper tuning and GPUs. 💪 🗃 Pandas — The Organizer Cleans, filters, groups, reshapes—loves playing with tables. But can be moody with large files. 🗂️ 📍 Matplotlib/Seaborn — The Designer Duo One is technical, the other stylish. Together they make your data look beautiful. ✨ 🔁 Jupyter Notebook — The Presenter Explains everything step by step. Talks code, visuals, and markdown—all in one flow. 🧑‍🏫 #DataScience #MachineLearning

Take Control of Selling in Amazon! 💫Too many tools, too little time? With dynamic pricing, real-time stock tracking, order m
Take Control of Selling in Amazon! 💫Too many tools, too little time? With dynamic pricing, real-time stock tracking, order monitoring and AI-powered BuyBox hunting, SellerFlash makes selling effortless in Amazon. 💫Say goodbye to manual chaos. With SellerFlash, you will manage listings, inventory, buyer messages and feedback campaigns all from one smart cloud platform designed for Amazon sellers. 👉🏽https://www.sellerflash.com/en/ Sponsored By WaybienAds

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ChatGPT Prompt Cheat Sheet
ChatGPT Prompt Cheat Sheet

An incredibly short book, but with a deep analysis of the internal mechanisms of Python, which we use every day. ❤️ Each chap
An incredibly short book, but with a deep analysis of the internal mechanisms of Python, which we use every day. ❤️ Each chapter contains an explanation of a specific language feature, such as working with *args/**kwargs, mutable arguments, generators, decorators, context managers, enumerate/zip, exceptions, dunder methods, and other clever constructs. Link: https://book.pythontips.com/en/latest/

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🔰 Python Trick
🔰 Python Trick

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