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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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📈 Аналитический обзор Telegram-канала Machine Learning with Python

Канал Machine Learning with Python (@codeprogrammer) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 67 810 подписчиков, занимая 2 427 место в категории Образование и 5 028 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 67 810 подписчиков.

Согласно последним данным от 13 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 60, а за последние 24 часа — -3, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 4.31%. В первые 24 часа после публикации контент обычно набирает 1.69% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 2 926 просмотров. В течение первых суток публикация набирает 1 148 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 6.
  • 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 14 июня, 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.

67 810
Подписчики
-324 часа
-77 дней
+6030 день
Архив постов
🧰 A comprehensive toolbox of data scientistsAccess to 500+ TB of data science content 👨🏻‍💻 The Data Scientist Toolkit is the result of my five-year effort in the field of data science, which is an extremely comprehensive and extensive resource for those who want to become a professional data scientist. So don't miss this source ⚙️ This toolbox includes the following sections: 📚 Access to a wide bank of scientific files, training courses and professional resources in the field of data science. 💯 More than a decade of applied data science theses in finance, medicine, logistics and security. 🏛 The latest data science courses from leading universities in the world such as Stanford, MIT and Berkeley. 🚀 And over 300+ terabytes of data science courses for experienced data scientists. 🐱 GitHub Repository └ The Data Scientist's Toolbox 🌐

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TON is Hosting Three-Day Offline Marathons for Developers in 13 Cities Worldwide TON (The Open Network), a blockchain integrated into Telegram, is currently holding the largest hackathon in its history, “The Open League Hackathon,” with a prize pool of $2,000,000! To support the hackathon, TON Society is organizing offline events around the world, giving Web3 enthusiasts the opportunity to spend three days immersed in development and networking. 📍 The marathons will take place in Prague, Berlin, Kyiv, Warsaw, Tbilisi, Belgrade, Seoul, Taipei (Taiwan), Gurugram (India), Hong Kong, Minsk, Moscow, and Saint Petersburg. The first events start on May 24th, so hurry up and register! 🔥 Why you should participate: — 3 days of networking, lectures, competitions, and working on your own projects with continuous support from TON Foundation representatives and teams from the TON ecosystem. You can also join online. — $5,000 prize for the top three projects at each offline event + plenty of merchandise and other bonuses. Don’t miss the chance to present your mini-application to 900 million active Telegram users with TON. Check the marathon schedule and details here - sign up and don't miss out on this great opportunity! For guaranteed application review and other inquiries, contact the community manager @kate_shuffle

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Collect the largest number of clicks. Telegram will mine these clicks and convert them into money within 3 months. Mining quickly! https://t.me/tapswap_mirror_2_bot?start=r_418788114 It is an official Telegram bot and can be verified by the blue verification mark

⚡️ Neural Networks: Zero to Hero - a block of 8 lectures and practical exercises from Andrey Karpati This is a course on neur
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⚡️ Neural Networks: Zero to Hero - a block of 8 lectures and practical exercises from Andrey Karpati This is a course on neural networks from the very basics, perhaps the best on the entire Internet. The course is a series of YouTube videos in which Karpathy shows how to design and train neural networks. All these results are written in Jupyter-Notebooks, you can download them and experiment ▶️ Neural Networks: Zero to Hero ✅️ http://t.me/codeprogrammer ✅️

❗️ WITH ME YOU WILL START EARNING MONEY We will leave a link with free entry to a channel that draws money every day. Each su
❗️ WITH ME YOU WILL START EARNING MONEY We will leave a link with free entry to a channel that draws money every day. Each subscriber gets between $100 and $5,000. 👉🏻CLICK HERE TO JOIN THE CHANNEL 👈🏻 👉🏻CLICK HERE TO JOIN THE CHANNEL!👈🏻 👉🏻CLICK HERE TO JOIN THE CHANNEL 👈🏻 🚨FREE FOR THE FIRST 500 SUBSCRIBERS ONLY!

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⚡️ Big ML cheat sheet Here you will find the basic theory of Machine Learning and examples of the implementation of specific
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⚡️ Big ML cheat sheet Here you will find the basic theory of Machine Learning and examples of the implementation of specific ML algorithms - in general, this is just the thing to brush up on your knowledge before the interview. 📎 Crib ✅️ http://t.me/codeprogrammer ✅️

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Can someone give me Telegram Premium, I need it to continue my work @hussein_sheikho

🎁 LLM Cheatsheet ✅️ http://t.me/codeprogrammer ✅️

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🔆 The paid channel will contain all the books in the three channels + important books available only in the paid channel + data science courses, programming languages, and others. All files in the paid channel will be Telegram files without any links. pay here (Auto Accept): https://boosty.to/datascienceteam/posts/f2ad1200-d178-40f2-b16c-dc4621b57f38