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Data Science & Machine Learning

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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Data AnalyticsСеть:Data AnalyticsИндия16 012Образование7 207

📈 Аналитический обзор Telegram-канала Data Science & Machine Learning

Канал Data Science & Machine Learning (@datascienceinterviews) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 27 229 подписчиков, занимая 7 207 место в категории Образование и 16 012 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 27 229 подписчиков.

Согласно последним данным от 11 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 90, а за последние 24 часа — -3, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 0.71%. В первые 24 часа после публикации контент обычно набирает 0.62% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 192 просмотров. В течение первых суток публикация набирает 169 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 1.
  • 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 12 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.

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