Data Science & Machine Learning
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The first channel on Telegram that offers exciting questions, answers, and tests in data science, artificial intelligence, machine learning, and programming languages. For promotions: @love_data
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Сеть:📈 Аналитический обзор Telegram-канала Data Science & Machine Learning
Канал Data Science & Machine Learning (@datascienceinterviews) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 27 612 подписчиков, занимая 6 949 место в категории Образование и 14 697 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 27 612 подписчиков.
Согласно последним данным от 29 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 161, а за последние 24 часа — 2, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.13%. В первые 24 часа после публикации контент обычно набирает 0.53% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 588 просмотров. В течение первых суток публикация набирает 145 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 5.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как insidead, mining, pinix, learning, neo.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“The first channel on Telegram that offers exciting questions, answers, and tests in data science, artificial intelligence, machine learning, and programming languages.
For promotions: @love_data”
Благодаря высокой частоте обновлений (последние данные получены 30 августа, 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.
27 612
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+224 часа
+157 дней
+16130 день
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