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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 67 828 подписчиков, занимая 2 402 место в категории Образование и 5 082 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 67 828 подписчиков.

Согласно последним данным от 03 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 63, а за последние 24 часа — 3, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.53%. В первые 24 часа после публикации контент обычно набирает 1.86% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 1 715 просмотров. В течение первых суток публикация набирает 1 262 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 04 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.

67 828
Подписчики
+324 часа
+757 дней
+6330 день
Архив постов
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Machine Learning Specialization — Study Notes & Labs Personal notes and lab notebooks from the Machine Learning Specializatio
Machine Learning Specialization — Study Notes & Labs Personal notes and lab notebooks from the Machine Learning Specialization by DeepLearning.AI & Stanford Online (Coursera), instructed by Prof. Andrew Ng. 📂 Repo: https://github.com/TruongDat05/machine-learning-notes-and-code

🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed
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🔥 Convolutional Neural Networks: Clearly explained! 🖼 Convolutional Neural Networks (CNNs): CNNs belong to the deep learnin
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🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed
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