ru
Feedback
Machine Learning with Python

Machine Learning with Python

Открыть в Telegram

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

Больше

📈 Аналитический обзор Telegram-канала Machine Learning with Python

Канал Machine Learning with Python (@codeprogrammer) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 68 278 подписчиков, занимая 2 361 место в категории Образование и 4 690 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 68 278 подписчиков.

Согласно последним данным от 15 сентября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 106, а за последние 24 часа — 23, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.33%. В первые 24 часа после публикации контент обычно набирает 1.46% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 1 593 просмотров. В течение первых суток публикация набирает 995 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 7.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как insidead, learning, degree, evaluation, algorithm.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

Благодаря высокой частоте обновлений (последние данные получены 16 сентября, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

Buy Ad
68 278
Подписчики
+2324 часа
+1087 дней
+10630 дней
Архив постов
Get Up to 500MB of Residential Proxy Traffic for Your Python Projects 🐍 Building a web scraper with Python? ThorData helps developers collect public web data while handling proxy rotation, geo-targeting, and access restrictions. ✅ Residential IPs across 190+ countries ✅ Country, city, and ASN-level targeting ✅ Rotating and sticky sessions ✅ HTTP(S) and SOCKS5 support ✅ Works with Requests, Scrapy, Selenium, and Playwright 🎁 Exclusive offer for Machine Learning with Python members Eligible new users can receive up to 500MB of residential proxy traffic for testing. Use channel code: PYTHONSCRAPE 👉 Start your test: https://www.thordata.com/?ls=MQiAFqAo&lk=ps-02 Available to eligible new users. The actual trial traffic may vary, up to a maximum of 500MB.

📚 7 Best Websites to Learn Computer Science Subjects for Free Struggling with subjects like DSA, DBMS, OS or Computer Networks? These free resources can make learning much easier 1. GeeksforGeeks 🧑‍💻 • DSA, DBMS, OS, CN and more • Notes, articles, problems and tutorials 🔗 https://www.geeksforgeeks.org/ 2. freeCodeCamp 🎓 • Programming, web development, Python and more • Free courses with hands-on learning 🔗 https://www.freecodecamp.org/ 3. CS50 by Harvard 🧠 • Excellent introduction to computer science • Covers programming, algorithms, memory, databases and more 🔗 https://cs50.harvard.edu/ 4. Neso Academy 📖 • Detailed lectures on OS, CN, DBMS, DSA and other CSE subjects • Great for concept-based learning 🔗 https://www.youtube.com/@nesoacademy 5. W3Schools 🌐 • Learn HTML, CSS, JavaScript, SQL, Python and more • Simple explanations with interactive examples 🔗 https://www.w3schools.com/ 6. MIT OpenCourseWare 🎓 • University-level computer science courses • Lectures, assignments and study material 🔗 https://ocw.mit.edu/ 7. roadmap.sh 🗺 • Structured roadmaps for different tech careers • Useful for planning what to learn next 🔗 https://roadmap.sh/ 💾 Save this list for your next semester

photo content

🚀Round 2 – 14-Day CCNA & CCNP Study Sprint! Our first 21-Day Sprint was a huge success — we saw amazing check-ins, great dis
🚀Round 2 – 14-Day CCNA & CCNP Study Sprint! Our first 21-Day Sprint was a huge success — we saw amazing check-ins, great discussions, and a community that truly learned together. 🙌 Now we're back with a faster, tighter 14-Day Sprint — same energy, same prizes, easier to finish! 💪 📅 Sprint Period: Sep 14 – Sep 27 (UTC+8) 📝 How It Works: ① DM admin: "I'M IN + cert name" (e.g., I'M IN CCNA 200-301) ② Check in 12 out of 14 days → win prizes 🎁 🏆 Prizes (First come, first served!): 1️⃣ $10 SPOTO Universal Coupon ×2 2️⃣ Cisco SD-Access Training ($150 value) ×1 3️⃣ Cisco SD-WAN Training ($150 value) ×1 4️⃣ CCNA Training Pro Package ($59.99 value) ×10 5️⃣ Free Cisco Learning Pack – unlimited for all finishers 🎁 ✅ Referral Bonus: Invite a friend → Get FREE EXAM DEMO 💻 DM admin to register: https://wa.me/8619559123054 JOIN 14 Days Study Sprint: https://chat.whatsapp.com/KZrAj2HZ3Y5K9UhhNhrApf

Python for Data Science Cheat Sheet.pdf3.72 KB

Free course

Repost from Free Online Courses
🎓 Deep Learning for Images with PyTorch: CNNs to GANs #Data_Science #DataCamp 🏫 Platform: DataCamp 🆓 100% FREE ━━━━━━━━━━━
🎓 Deep Learning for Images with PyTorch: CNNs to GANs #Data_Science #DataCamp 🏫 Platform: DataCamp 🆓 100% FREE ━━━━━━━━━━━━━━━━━━━━ 📝 Course Details: This advanced computer vision course delivers a hands-on exploration of PyTorch across all major vision tasks. From Convolutional Neural Networks (CNNs) for image classification to advanced segmentation masks and Generative Adversarial Networks (GANs), it prepares practitioners for complex computer vision engineering tasks. Who It's For Advanced PyTorch practitioners, computer vision engineers, and machine learning research engineers seeking deep technical expertise in image processing and synthesis. Key TakeawaysCNNs & Object Detection: Train CNNs for binary and multi-class classification, leverage pre-trained models, and evaluate object detection using bounding boxes. … 📢 Channel: https://t.me/Courses27

Repost from Free Online Courses
🎓 Deep Learning for Text with PyTorch: NLP & Transformers #Data_Science #DataCamp 🏫 Platform: DataCamp 🆓 100% FREE ━━━━━━━
🎓 Deep Learning for Text with PyTorch: NLP & Transformers #Data_Science #DataCamp 🏫 Platform: DataCamp 🆓 100% FREE ━━━━━━━━━━━━━━━━━━━━ 📝 Course Details: Natural Language Processing has undergone massive advancements, and this advanced PyTorch course takes learners through the evolution of text modeling. Moving from standard tokenization and RNNs to modern Transformer architectures and attention mechanisms, it delivers a comprehensive blueprint for deep NLP application design. Who It's For Advanced machine learning engineers and NLP specialists who want to master PyTorch text preprocessing, recurrent networks, Transformers, and transfer learning. Key TakeawaysText Preprocessing & Encodings: Master tokenization, stemming, lemmatization, One-Hot, Bag-of-Words, and TF-IDF encodings for neural networks. … 📢 Channel: https://t.me/Courses27

Repost from Machine Learning
This repository contains Jupyter notebooks for the O'Reilly book "Transformers: The Definitive Guide." It includes code for c
This repository contains Jupyter notebooks for the O'Reilly book "Transformers: The Definitive Guide." It includes code for computer vision tasks, time series analysis, audio processing, and reinforcement learning. https://github.com/Nicolepcx/transformers-the-definitive-guide https://t.me/MachineLearning9 🤩

cC🇮🇷🇺🇸⚡️ — Follow us on WhatsApp for more geopolitical news and trading signals https://chat.whatsapp.com/H4Z5OSuoNChJd5ZHtTX1Ug

🧲 Your agent writes the tool. You keep the terminal closed. You know the shape of the script before you open the editor. The hour goes to argparse, a retry wrapper, a rate limiter you have written eleven times already. Create your own AI agent inside Telegram in about a minute, and create small tools with it right in the chat. ▫️ describe a tool in a sentence and it writes, runs and returns the working script ▫️ ships a mini-app inside Telegram — a form, a converter, a dashboard, no deploy and no hosting ▫️ drop in a traceback or a repo link and get the fix, not a lecture ▫️ swap the model per task with one command, so cheap work runs cheap ▫️ remembers your stack, your conventions and your project for months ▫️ voice in, answer back — describe the task on the way home, read the result when you are back Setup takes a minute: open the link, start the free trial, name your agent. 30 days free, no card needed. 🧲 Create your agent

photo content

🌈 2026 Job-Seeker Toolkit – Free Interview & IT Cert Resources 🔥The 2026 hiring market is shifting fast. We've put together
🌈 2026 Job-Seeker Toolkit – Free Interview & IT Cert Resources 🔥The 2026 hiring market is shifting fast. We've put together a 100% free resource bundle covering #Cisco, #AWS, #PMP, #AI, #Python, #Excel, and #Cybersecurity — including: ✅Q&A banks & mock exams ✅Behavioral interview guides ✅Technical deep-dives for coding & infrastructure roles ✅Real-world project scenarios Perfect for Software Developer Jobs, IT Internships, and Python Projects practice. 🎯 Interview Question Bank → https://bit.ly/4A6m0hM 🪜 Online Free Course For Python & Excel→https://bit.ly/46bUzWm 📘 Free Cert E‑Book → https://bit.ly/4xXkAVx ☁️ Free AI Materials → https://bit.ly/4xMBLJd 📊 Cloud Study Guide → https://bit.ly/4cAQ8rN 🧠 Free Mock Exam → https://bit.ly/4xcp3Cx Tag a friend who's job-hunting or grinding Python projects — let's ace it together! 💪 🧠 Join Study Community: https://chat.whatsapp.com/DcpVeYSV6xNJzdBQU9eRyU ❄️ 1-on-1 support: https://wa.link/gyvbek

https://t.me/UdemySybot?start=Code The idea behind the bot is to offer free courses without paying any money.

Repost from Machine Learning
📚 This is probably one of the best technical books on how large language models are trained at scale: > GPU memory and profi
📚 This is probably one of the best technical books on how large language models are trained at scale: > GPU memory and profiling > Breaking down computations into blocks, kernel fusion, and FlashAttention > Data parallelism, tensor parallelism, pipeline parallelism, and context parallelism I've already read the free online version, but I still had to buy a physical copy for my library. 📖 You can also read it for free on Hugging Face: https://huggingface.co/spaces/nanotron/ultrascale-playbook #LLM #AI #MachineLearning #TechBooks #DataScience #Coding ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Repost from Udemy Free
Master Python in 100 Days with 100 Projects Learn Python fundamentals and build 100 projects over 100 days, covering topics l
Master Python in 100 Days with 100 Projects Learn Python fundamentals and build 100 projects over 100 days, covering topics like object-oriented programming, web development, and data analysis. 💡 Why this is useful: Build practical Python skills with project-based learning 👤 Best for: Beginners and intermediate learners looking to master Python programming. ✅ After this course: Develop a solid foundation in Python programming and build 100 real-world projects. 🏷 Category: Development 🌍 Language: English 👥 Students: 35303 students ⭐️ Rating: 4.6/5.0 🏃‍♂️ Enrollments Left: 70 💰 Price: FREE 🆔 Coupon: •••••••••• (tap below to reveal) 🔓 Tap "Get Coupon" below — the code unlocks inside the app after a short rewarded ad. 💎 By: https://t.me/Udemy26 #Programming #Coding #Development #Tech #Python #DataScience