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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 68 459 подписчиков, занимая 2 403 место в категории Образование и 4 579 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 68 459 подписчиков.

Согласно последним данным от 02 ноября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -42, а за последние 24 часа — -6, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 3.87%. В первые 24 часа после публикации контент обычно набирает 1.52% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 2 649 просмотров. В течение первых суток публикация набирает 1 038 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 03 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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🔖 The book that paved the way for me to "data science"! 👨🏻‍💻 "Where do I start now?" This was the first and biggest quest
🔖 The book that paved the way for me to "data science"! 👨🏻‍💻 "Where do I start now?" This was the first and biggest question I faced when I started my Data Science learning journey! ⏪ I was really overwhelmed by the large number of scattered sources, long courses, and specialized books full of heavy terminology. I didn't know how to start and move forward in this direction... ✔️ But the book Intro to Data Science with Python changed everything for me and gave me a new perspective! ✏️ This book is a complete guide to starting from scratch and is great for both beginners and professionals in this field!! From coding with Python to working with data, visualization, and even AI tools, it explains everything in the simplest and most practical way possible. 💸 A great start for anyone looking to learn data science with Python!👇 ┌ 🏳️‍🌈 Intro to Data Science with Python ├ 📄 E-book └ 🐱 GitHub-Repos
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Machine Learning from Scratch by Danny Friedman This book is for readers looking to learn new machine learning algorithms or
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Python Pandas Interview Questions Answers Cheatsheet.pdf2.32 MB

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Top_100_Machine_Learning_Interview_Questions_Answers_Cheatshee.pdf5.83 MB

Top 100 Machine Learning Interview Questions & Answers Cheatshee 👇👇👇👇👇👇👇👇
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Keras Cheat Sheet: Neural Networks in Python By Sandeep Sharma
Keras Cheat Sheet: Neural Networks in Python By Sandeep Sharma

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