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

Сітка:Machine Learning with Python Індія4 809 Освіта2 375...

📈 Аналітичний огляд Telegram-каналу Machine Learning with Python

Канал Machine Learning with Python (@codeprogrammer) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 68 117 підписників, посідаючи 2 375 місце в категорії Освіта та 4 809 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 68 117 підписників.

За останніми даними від 26 серпня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 120, а за останні 24 години на -14, загальне охоплення залишається високим.

Статус верифікації: Не верифікований
Рівень залученості (ER): Середній показник залученості аудиторії становить 4.55%. Протягом перших 24 годин після публікації контент зазвичай збирає 2.02% реакцій від загальної кількості підписників.
Охоплення публікацій: В середньому кожен допис отримує 3 099 переглядів. Протягом першої доби публікація в середньому набирає 1 378 переглядів.
Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 5.
Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як insidead, learning, degree, evaluation, algorithm.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

Завдяки високій частоті оновлень (останні дані отримано 27 серпня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.

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68 117

Підписники

-1424 години

-667 днів

+12030 день

3 099

Перегляди допису

~ 1 37824 години

~ 1 73248 годин

4.55%

Коефіцієнт залучення

~ 2

Дописів на день

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GRU → remembers efficiently GAN → creates realistic content RNN → understands sequences LSTM → remembers long context

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