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AI and Machine Learning

AI and Machine Learning

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Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

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📈 Аналитический обзор Telegram-канала AI and Machine Learning

Канал AI and Machine Learning (@machine_learning_courses) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 94 144 подписчиков, занимая 1 548 место в категории Образование и 2 998 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 94 144 подписчиков.

Согласно последним данным от 28 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 939, а за последние 24 часа — 37, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 7.03%. В первые 24 часа после публикации контент обычно набирает 2.49% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 6 622 просмотров. В течение первых суток публикация набирает 2 343 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 9.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как learning, llm, linkedin, linux, udemy.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

Благодаря высокой частоте обновлений (последние данные получены 29 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.

94 144
Подписчики
+3724 часа
+2867 дней
+93930 день
Архив постов
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🔰 Artificial Intelligence A-Z™ 2023: Build an AI with ChatGPT4 🌟 4.3 - 27972 votes 💰 Original Price: $74.99 Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications! Taught By: Hadelin de Ponteves, Kirill Eremenko Download Full Course: https://t.me/machine_learning_courses/150 Download All Courses: https://t.me/zero_to_mastery

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📦 Exercice Files

Machine Learning and AI Foundations: Advanced Decision Trees with KNIME @Linkedin_Learning

🔸 Full description 🔸 Every year, it seems, there is a new hot trend in data science. One of the hottest predictive analytics algorithms this year is gradient-boosted trees. One cannot hope to understand why it is popular and successful if one doesnt understand the basics of decision trees. Specific tree algorithms have risen and fallen in popularity, but the core concepts have been fundamental to the discipline for at least 30 years. In this course, instructor Keith McCormick demonstrates and discusses a half-dozen popular decision tree algorithms. Keith shows how to access them using other open-source options from within the KNIME platform. He explains them and reverse engineers them to create a solid foundation on which to build more advanced data science skills.

🔅 Machine Learning and AI Foundations: Advanced Decision Trees with KNIME 🔊 Author: Keith McCormick 🔸 Date: 2022-11-14 ⏰ D
🔅 Machine Learning and AI Foundations: Advanced Decision Trees with KNIME 🔊 Author: Keith McCormick 🔸 Date: 2022-11-14Duration: 1h 33m 🌀 Learn to go beyond the basic decision tree algorithms in KNIME by accessing WEKA, R, and Python-based decision tree and rule induction algorithms from within the KNIME platform. 📗 Topics: Decision Trees, Knime, Machine Learning 🔷 Join @linkedin_learning for more courses

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19 Appendix - NumPy - Part 02.zip239.76 MB