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AI and Machine Learning

AI and Machine Learning

رفتن به کانال در Telegram

Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

نمایش بیشتر

📈 تحلیل کانال تلگرام AI and Machine Learning

کانال AI and Machine Learning (@machine_learning_courses) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 94 077 مشترک است و جایگاه 1 547 را در دسته آموزش و رتبه 3 005 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 94 077 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 26 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 965 و در ۲۴ ساعت گذشته برابر 37 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 6.79% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.34% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 6 384 بازدید دریافت می‌کند. در اولین روز معمولاً 2 203 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 9 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند learning, llm, linkedin, linux, udemy تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 27 ژوئن, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کرده‌اند.

94 077
مشترکین
+3724 ساعت
+2267 روز
+96530 روز
آرشیو پست ها
07 - Appendix - Python Crash Course

06 - Deploying in another open-course cloud

05 - Deploy Web App in Heroku Cloud

04 - Face Recognition Project (Integrating HTML Model to Flask App)

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 04

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 03

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 02

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 01

02 - Image Processing with OpenCV

01 - Introduction - Part 02

01 - Introduction - Part 01

🧠 Face Recognition with Machine Learning + Deploy Flask App 🌟 4.4 - 459 votes 💰 Original Price: $69.99 📖 Create an Face R
🧠 Face Recognition with Machine Learning + Deploy Flask App 🌟 4.4 - 459 votes 💰 Original Price: $69.99
📖 Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy
🔊 Taught By: datascience Anywhere, G Sudheer 📤 Download Full Course 📤 Download All Courses

💰 AI Terms You Must Know
💰 AI Terms You Must Know

⚠️ Exciting News! 🎉 Thanks to your votes and support, we’re thrilled to announce the launch of our new channel: The Coding S
⚠️ Exciting News! 🎉 Thanks to your votes and support, we’re thrilled to announce the launch of our new channel: The Coding Space!
This channel is dedicated to helping you master programming and coding, featuring tutorials on Python, Java, C, C++, C#, and more. Whether you’re a beginner or looking to level up your skills, The Coding Space is here to guide you.
🌟 Stay tuned for high-quality content, tips, and resources designed to make you a better programmer! 📱 Join us now and start coding smarter! Thank you for being an amazing community! ❤️

AI is learning very fast.

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📦 Exercise Files

📱Machine Learning and Artificial intelligence 📱Machine Learning and AI Foundations: Advanced Decision Trees with KNIME

🔅 Machine Learning and AI Foundations: Advanced Decision Trees with KNIME 🌐 Author: Keith McCormick 🔰 Level: Advanced ⏰ Du
🔅 Machine Learning and AI Foundations: Advanced Decision Trees with KNIME 🌐 Author: Keith McCormick 🔰 Level: AdvancedDuration: 1h 33m
🌀 Learn to go beyond the basic decision tree algorithms in KNIME by accessing WEKA, R, and Python-based decision tree and rule induction algorithms from within the KNIME platform.
📗 Topics: Decision Trees, Knime, Machine Learning 📤 Join Machine Learning and Artificial intelligence for more courses

AI and Machine Learning - آمار و تحلیل کانال تلگرام @machine_learning_courses