fa
Feedback
Machine Learning with Python

Machine Learning with Python

رفتن به کانال در Telegram

Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

نمایش بیشتر

📈 تحلیل کانال تلگرام Machine Learning with Python

کانال Machine Learning with Python (@codeprogrammer) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 67 812 مشترک است و جایگاه 2 404 را در دسته آموزش و رتبه 5 049 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 67 812 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 05 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 77 و در ۲۴ ساعت گذشته برابر 9 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 2.60% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.50% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 1 767 بازدید دریافت می‌کند. در اولین روز معمولاً 1 695 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 6 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند insidead, learning, degree, evaluation, algorithm تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 07 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.

67 812
مشترکین
+924 ساعت
+587 روز
+7730 روز
آرشیو پست ها
𝗧𝗵𝗼𝘀𝗲 𝘄𝗵𝗼 𝘄𝗮𝗻𝘁 𝗿𝗲𝗳𝗲𝗿𝗿𝗮𝗹𝘀 𝗮𝗻𝗱 𝗝𝗼𝗯𝘀 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 𝗳𝗿𝗼𝗺 𝗧𝗼𝗽 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗕𝗮𝘀𝗲𝗱, 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗕𝗮𝘀𝗲𝗱 𝗮𝗻𝗱 𝗦𝘁𝗮𝗿𝘁 𝘂𝗽  𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗹𝗶𝗸𝗲 𝗔𝗺𝗮𝘇𝗼𝗻, 𝗚𝗼𝗼𝗴𝗹𝗲,  𝗔𝗽𝗽𝗹𝗲, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁, 𝗜𝗕𝗠, 𝗧𝗖𝗦, 𝗖𝗼𝗴𝗻𝗶𝘇𝗮𝗻𝘁, 𝗪𝗶𝗽𝗿𝗼, 𝗖𝗧𝗦, 𝗚𝗼𝗹𝗱𝗺𝗮𝗻 𝗦𝗮𝗰𝗵𝘀, 𝗢𝗹𝗮, 𝗨𝗯𝗲𝗿, 𝗭𝗼𝗺𝗮𝘁𝗼, 𝗦𝘄𝗶𝗴𝗴𝘆, 𝘂𝗽𝗚𝗿𝗮𝗱, 𝗖𝘂𝗿𝗲 𝗙𝗶𝘁, 𝗛𝗮𝗰𝗸𝗲𝗿𝗿𝗮𝗻𝗸, 𝗚𝗲𝗲𝗸𝘀𝗳𝗼𝗿𝗴𝗲𝗲𝗸𝘀 𝗮𝗻𝗱 𝗺𝗮𝗻𝘆 𝗺𝗼𝗿𝗲, 𝗰𝗮𝗻 𝗷𝗼𝗶𝗻 𝘁𝗵𝗲𝘀𝗲 𝗯𝗲𝗹𝗼𝘄 𝗰𝗵𝗮𝗻𝗻𝗲𝗹𝘀 👇👇   https://t.me/jobsandinternshipsupdates

💛 Top 10 Best Websites to Learn Machine Learning ⭐️ by [@codeprogrammer] --- 🧠 Google’s ML Course 🔗 https://developers.google.com/machine-learning/crash-course 📈 Kaggle Courses 🔗 https://kaggle.com/learn 🧑‍🎓 Coursera – Andrew Ng’s ML Course 🔗 https://coursera.org/learn/machine-learning ⚡️ Fast.ai 🔗 https://fast.ai 🔧 Scikit-Learn Documentation 🔗 https://scikit-learn.org 📹 TensorFlow Tutorials 🔗 https://tensorflow.org/tutorials 🔥 PyTorch Tutorials 🔗 https://docs.pytorch.org/tutorials/ 🏛️ MIT OpenCourseWare – Machine Learning 🔗 https://ocw.mit.edu/courses/6-867-machine-learning-fall-2006/ ✍️ Towards Data Science (Blog) 🔗 https://towardsdatascience.com --- 💡 Which one are you starting with? Drop a comment below! 👇 #MachineLearning #LearnML #DataScience #AI #TechWithRam

Do you see yourself as a programmer, researcher, or engineer?
Anonymous voting

DS Interview.pdf1.57 MB

These Google Colab-notebooks help to implement all machine learning algorithms from scratch 🤯 Repo: https://udlbook.github.i
+1
These Google Colab-notebooks help to implement all machine learning algorithms from scratch 🤯 Repo: https://udlbook.github.io/udlbook/ 👉 @codeprogrammer

Build your own AI agent from scratch for free in 5 minutes In this article, I will show you how to build your first AI agent
Build your own AI agent from scratch for free in 5 minutes In this article, I will show you how to build your first AI agent from scratch using Google’s ADK (Agent Development Kit). This is an open-source framework that makes it easier to create agents, test them, add tools, and even build multi-agent systems. Read: https://habr.com/en/articles/974212/

Repost from Data Analytics
This repository collects everything you need to use AI and LLM in your projects. 120+ libraries, organized by development sta
This repository collects everything you need to use AI and LLM in your projects. 120+ libraries, organized by development stages: → Model training, fine-tuning, and evaluation → Deploying applications with LLM and RAG → Fast and scalable model launch → Data extraction, crawlers, and scrapers → Creating autonomous LLM agents → Prompt optimization and security Repo: https://github.com/KalyanKS-NLP/llm-engineer-toolkit 🥺 https://t.me/DataAnalyticsX

😎 Machine Learning Cheatsheet — a structured ML guide! There are no courses here, no unnecessary theory or long lectures, but there are clear formulas, algorithms, the logic of ML pipelines, and a neatly structured knowledge base. It's perfect for quickly refreshing your understanding of algorithms or having it handy as an ML cheat sheet during work. 📌 Here's the link: ml-cheatsheet.readthedocs.io 🚪 @codeprogrammer   | #resource

🙏💸 500$ FOR THE FIRST 500 WHO JOIN THE CHANNEL! 🙏💸 Join our channel today for free! Tomorrow it will cost 500$! https://t
🙏💸 500$ FOR THE FIRST 500 WHO JOIN THE CHANNEL! 🙏💸 Join our channel today for free! Tomorrow it will cost 500$! https://t.me/+0-w7MQwkOs02MmJi You can join at this link! 👆👇 https://t.me/+0-w7MQwkOs02MmJi

Repost from ADMINOTEKA
Вы просили — мы услышали! Наищедрейшая партнерская программа Админотеки продлевается до конца февраля Рассказывай любимым адм
Вы просили — мы услышали! Наищедрейшая партнерская программа Админотеки продлевается до конца февраля Рассказывай любимым админам про лучший в галактике сервис для монетизации своего канала и получай до ₽1250 за каждого подключенного по твоей ссылке Вы уже подключили более 1000 каналов. Так давайте поднажмём и подключим все остальные! 🥰

photo content

Господи, похоже, это канал о самых конченных и отвратительных выходках отечественных горе-бизнесменов. Если ты думал, что ниж
Господи, похоже, это канал о самых конченных и отвратительных выходках отечественных горе-бизнесменов. Если ты думал, что ниже Вайлдберрис, К&Б и Пятерочки падать уже некуда, то ты сильно заблуждался. Подписан — значит вооружен!

Best GitHub repositories to learn AI from scratch in 2026:
1. Andrej Karpathy https://github.com/karpathy/nn-zero-to-hero 2. Hugging Face Transformers https://github.com/huggingface/transformers 3. FastAI/fastbook https://github.com/fastai/fastbook 4. Made-With-ML https://github.com/GokuMohandas/Made-With-ML 5. ML System Design https://github.com/chiphuyen/machine-learning-systems-design 6. Awesome Generative AI guide https://github.com/aishwaryanr/awesome-generative-ai-guide 7. Dive into Deep Learning https://github.com/d2l-ai/d2l-en 👉 @codeprogrammer

Earn Automatically From Your Channel With Relevant Ads💵 Waybien Ads places high-quality, community-friendly ads in your Tele
Earn Automatically From Your Channel With Relevant Ads💵 Waybien Ads places high-quality, community-friendly ads in your Telegram, WhatsApp (soon), Facebook(soon), or Discord (soon) channels — fully automated, no extra work needed. Monetize your audience without harming engagement and get paid monthly. Join thousands of channel owners already earning! 👉🏽Check our official Telegram channel for more details: https://t.me/waybien 👉🏽 For X account: https://x.com/waybienofficial  Sponsored By WaybienAds

Earn Automatically From Your Channel With Relevant Ads💵 Waybien Ads places high-quality, community-friendly ads in your Tele
Earn Automatically From Your Channel With Relevant Ads💵 Waybien Ads places high-quality, community-friendly ads in your Telegram, WhatsApp (soon), Facebook(soon), or Discord (soon) channels — fully automated, no extra work needed. Monetize your audience without harming engagement and get paid monthly. Join thousands of channel owners already earning! 👉🏽Check our official Telegram channel for more details: https://t.me/waybien 👉🏽 For X account: https://x.com/waybienofficial  Sponsored By WaybienAds

Collection of books on machine learning and artificial intelligence in PDF format Repo: https://github.com/Ramakm/AI-ML-Book-
Collection of books on machine learning and artificial intelligence in PDF format Repo: https://github.com/Ramakm/AI-ML-Book-References #MACHINELEARNING #PYTHON #DATASCIENCE #DATAANALYSIS #DeepLearning 👉 @codeprogrammer

🤖 Machine Learning Tutorials Repository 1. Python 2. Computer Vision: Techniques, algorithms 3. NLP 4. Matplotlib 5. NumPy 6
🤖 Machine Learning Tutorials Repository 1. Python 2. Computer Vision: Techniques, algorithms 3. NLP 4. Matplotlib 5. NumPy 6. Pandas 7. MLOps 8. LLMs 9. PyTorch/TensorFlow git clone https://github.com/patchy631/machine-learning 🔗 GitHub: https://github.com/patchy631/machine-learning/tree/main ⭐️ https://t.me/DataScienceT

💰🤑PAID CHANNEL ENTRY FREE FOR NOW😒⚡ ✅ The Unbeatable Leakers😈 https://whatsapp.com/channel/0029VaCwEINAYlUOwSwaNI0z 📱Mus
💰🤑PAID CHANNEL ENTRY FREE FOR NOW😒⚡ ✅ The Unbeatable Leakers😈 https://whatsapp.com/channel/0029VaCwEINAYlUOwSwaNI0z 📱Must Join WhatsApp Channel Join The Nabesof  For Platinum Content For Free🎁
You 🫵 Will Get :- Paid Courses, Premium Tools, AI Tools, Premium Accounts, TB TB Data, Tech And Science Updates, Earning Guides, Automations And Much More Premium Content For Free 💀
DON'T WANNA TELL ANYTHING MORE, VISIT TO OUR CHANNEL AND SEE MAGIC💀 📱JOIN US HERE🌟 https://t.me/thenabesofuniverse https://t.me/thenabesofuniverse https://t.me/thenabesofuniverse