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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 67 815 подписчиков, занимая 2 419 место в категории Образование и 5 033 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 67 815 подписчиков.

Согласно последним данным от 12 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 57, а за последние 24 часа — 3, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 4.13%. В первые 24 часа после публикации контент обычно набирает 1.69% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 2 799 просмотров. В течение первых суток публикация набирает 1 149 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 13 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.

67 815
Подписчики
+324 часа
-187 дней
+5730 день
Архив постов
Transformer: Multi-Head Attention Math vs Code 👨‍💻 I made this visualization to show you how to implement the multi-head attention math in PyTorch within 50 LoC. Multi-Head Attention is what makes the Transformer's performance outstanding. Is it useful to you❓ 📂 Tags: #ML #TRANSFORMER http://t.me/codeprogrammer ⭐️

Yan Chen - Transformer: Attention by hand ✍️ Is it useful to you❓ 📂 Tags: #ML #TRANSFORMER http://t.me/codeprogrammer ⭐️

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"UNLOCK YOUR TRADING POTENTIAL! Discover the Secret to Making Consistent Profits in Forex & Gold Trading! Join our Exclusive Telegram Channel for: REAL-TIME SIGNALS EXPERT ANALYSIS MARKET INSIGHTS BEGINNER-FRIENDLY EDUCATION Maximize Your Profits with Our Proven Strategies! Join Now and Start Trading Like a Pro! #ad

Airdrop in 20/10/2024 Get money from this airdrop and convert $Tomato to usd and subscribe in Coursera grant This is my way to get resources I love airdrops https://t.me/Tomarket_ai_bot/app?startapp=0001oVe7

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Airdrop in 20/10/2024 Get money from this airdrop and convert $Tomato to usd and subscribe in Coursera grant This is my way to get resources I love airdrops https://t.me/Tomarket_ai_bot/app?startapp=0001oVe7

Airdrop in 20/10/2024 Get money from this airdrop and convert $Tomato to usd and subscribe in Coursera grant This is my way to get resources I love airdrops https://t.me/Tomarket_ai_bot/app?startapp=0001oVe7

Add your name to the list of candidates to win free grants, courses, and books by New Year's. The first 100 names will be selected and awarded grants, courses, or books based on the points they accumulate. Register here 🤠

Pandas ➡️ Polars ➡️ SQL ➡️ PySpark translations: Is it useful to you❓ 📂 Tags: #pandas #Polars #sql #Pyspark http://t.me/code
Pandas ➡️ Polars ➡️ SQL ➡️ PySpark translations: Is it useful to you❓ 📂 Tags: #pandas #Polars #sql #Pyspark http://t.me/codeprogrammer ⭐️

https://t.me/major/start?startapp=418788114 👑 Join me in @Major game and earn $MAJOR token soon! ⭐️ 750 rating bonus for you. ⭐️ 1000 rating bonus if you are Premium.

Transformer by Hand ✍️ in 5 Minutes with Anna Rahn 📂 Tags: #python #ML #Transformer http://t.me/codeprogrammer ⭐️

Web scraping will never be the same! Crawl4AI simplifies web crawling and data extraction, making it ready to use for LLMs an
Web scraping will never be the same! Crawl4AI simplifies web crawling and data extraction, making it ready to use for LLMs and AI applications. Here’s why it’s a game-changer: 🆓 Free and open-source ⭐️ Blazing fast performance, 🤖 LLM-friendly output formats (JSON, cleaned HTML, markdown) 🌍 Supports crawling multiple URLs simultaneously 🎨 Extracts all media tags (Images, Audio, Video) 🔗 Extracts all external and internal links But that’s not all: 📚 Extracts metadata from pages ✅ User-agent customization ✅ Takes screenshots of pages 📄 Executes custom JavaScript before crawling 📂 Tags: #python #ML #LLM http://t.me/codeprogrammer ⭐️

Let's open a new page and restore interaction to normal We want 100 interactions and I promise you more

LSTM by hand ✍️ Excel 📂 Tags: #python #ML #LSTM http://t.me/codeprogrammer ⭐️

LSTM by hand ✍️ Excel 📂 Tags: #python #ML #LSTM http://t.me/codeprogrammer ⭐️ Download Excel file 👇

Please enter your name to receive financial funding ranging from $10 to $300, which will allow you to register for Coursera's annual grants. Link for registration and submission.

Hello, my friends, The main reason for making some information and resources paid is that no one appreciates the value of the time and effort we spend to obtain the best results and resources for you. A low number of interactions... a low number of stars. I don't care about the money, but I want recognition for my efforts. I'm not willing to let my hard work and time go to waste for selfish individuals. This is the link to my paid channel where I provide all resources and information for free. https://t.me/+Tdshx2j5cZ00N2Ji Eng. Hussein Sheikho ✅

Based on leaks, Coursera has launched its new token, Circle, which will be converted into real money by the end of next month
Based on leaks, Coursera has launched its new token, Circle, which will be converted into real money by the end of next month. The more points you accumulate, the greater your chances of receiving a long-term Coursera grant. Collect circle tokens from here. Collecting tokens only requires you to complete daily tasks. The number of people working to collect Circle tokens has surpassed five million. Your life will change for the better. Sign up here for the Coursera grant.