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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 68 475 подписчиков, занимая 2 406 место в категории Образование и 4 586 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 68 475 подписчиков.

Согласно последним данным от 03 ноября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -74, а за последние 24 часа — 12, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 4.07%. В первые 24 часа после публикации контент обычно набирает 1.55% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 2 789 просмотров. В течение первых суток публикация набирает 1 062 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 8.
  • 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 ноября, 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.

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68 475
Подписчики
+1224 часа
-827 дней
-7430 дней
Архив постов
Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Amazing graphical representation of a neural net, never seen anything like it. Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #Pandas http://t.me/codeprogrammer ⭐️

Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

NumPy cheat sheet for Data Scientists Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #Panda
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Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Repost from Kaggle Data Hub
Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Using Normalization Layers to Improve Deep Learning Models Link: https://machinelearningmastery.com/using-normalization-layer
Using Normalization Layers to Improve Deep Learning Models Link: https://machinelearningmastery.com/using-normalization-layers-to-improve-deep-learning-models/ Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #LLM http://t.me/codeprogrammer ⭐️

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Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.

Repost from Machine Learning
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Data Pre-Processing of Diabetes Data for reliable machine learning model Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML http://t.me/codeprogrammer ⭐️

Beginner's Guide to Multi-Agents - Slides Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML http://t.me/codeprogrammer ⭐️

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Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.