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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 67 816 подписчиков, занимая 2 417 место в категории Образование и 5 033 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 67 816 подписчиков.

Согласно последним данным от 10 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 49, а за последние 24 часа — -10, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.61%. В первые 24 часа после публикации контент обычно набирает 2.40% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 1 770 просмотров. В течение первых суток публикация набирает 1 628 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 7.
  • 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 11 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.

67 816
Подписчики
-1024 часа
-17 дней
+4930 день
Архив постов
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The Hundred-Page Language Models Book Read it: https://github.com/aburkov/theLMbook #LLM #NLP #ML #AI #PYTHON #PYTORCH https:
The Hundred-Page Language Models Book Read it: https://github.com/aburkov/theLMbook
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pandas for Data Science - Guide In this learning path, you’ll get started with pandas and get to know the ins and outs of how
pandas for Data Science - Guide In this learning path, you’ll get started with pandas and get to know the ins and outs of how you can use it to analyze data with Python. pandas is a game-changer for #datascience and analytics, particularly if you came to #Python because you were searching for something more powerful than #Excel and #VBA. #pandas uses fast, flexible, and expressive data structures designed to make working with relational or labeled data both easy and intuitive. Read: https://realpython.com/learning-paths/pandas-data-science/ https://t.me/CodeProgrammer

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The Large Language Model Course How to become an LLM Scientist or Engineer from scratch Read FreeL
The Large Language Model Course How to become an LLM Scientist or Engineer from scratch Read FreeL

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You should do something about your AI skills. Why not do it this week, when all our AI courses, tracks, certifications and pr
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Python, Bash and SQL Essentials for Data Engineering Specialization What you'll learn Develop #dataengineering solutions with
Python, Bash and SQL Essentials for Data Engineering Specialization What you'll learn Develop #dataengineering solutions with a minimal and essential subset of the Python language and the Linux environment Design scripts to connect and query a #SQL #database using #Python Use a #scraping library in Python to read, identify and extract data from websites Enroll Free: https://www.coursera.org/specializations/python-bash-sql-data-engineering-duke https://t.me/DataScience4

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Running a Neural Network Model in OpenCV Many machine learning models have been developed, each with strengths and weaknesses
Running a Neural Network Model in OpenCV Many machine learning models have been developed, each with strengths and weaknesses. This catalog is not complete without neural network models. In OpenCV, you can use a neural network model developed using another framework. In this post, you will learn about the workflow of applying a neural network in OpenCV. Specifically, you will learn: 🏐 What OpenCV can use in its neural network model 🏐 How to prepare a neural network model for OpenCV Read: https://machinelearningmastery.com/running-a-neural-network-model-in-opencv/
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What is the biggest obstacle to your success in your academic and scientific career?
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Repost from Auto Udemy
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"Introduction to Applied Linear Algebra" by S. Boyd (Stanford) & L. Vandenberghe (UCLA) 📘 Freely available at: https://web.s
"Introduction to Applied Linear Algebra" by S. Boyd (Stanford) & L. Vandenberghe (UCLA) 📘 Freely available at: https://web.stanford.edu/~boyd/vmls/ 📽 Lecture Videos at: https://youtube.com/playlist?list=PLoROMvodv4rMz-WbFQtNUsUElIh2cPmN9
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Practical Deep Learning A free course designed for people with some coding experience, who want to learn how to apply deep le
Practical Deep Learning A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems. New! Enroll Free: https://course.fast.ai/
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how transformers remember facts
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MIT's "Machine Learning" lecture notes PDF: https://introml.mit.edu/_static/spring24/LectureNotes/6_390_lecture_notes_spring2
MIT's "Machine Learning" lecture notes PDF: https://introml.mit.edu/_static/spring24/LectureNotes/6_390_lecture_notes_spring24.pdf
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🚀 EXCITING UPDATE ALERT 🚀 A brand-new, FREE course on LLM evaluations has just been launched in collaboration with Elvis Sa
🚀 EXCITING UPDATE ALERT 🚀 A brand-new, FREE course on LLM evaluations has just been launched in collaboration with Elvis Saravia! Dive into the world of AI model assessments and elevate your skills with cutting-edge insights. 📚 What’s Included? - ⚖️ In-depth coverage of LLM-as-a-judge metrics, LLM unit testing, monitoring, and beyond - 🤖 Hands-on experience with real-world projects, such as building a YouTube search agent - 🎉 Access to open-source models via LiteLLM Whether you're an AI enthusiast, developer, or researcher, this course is designed to empower you with practical knowledge and tools. Don’t miss out—enroll now to secure your spot! 👇 https://www.comet.com/site/llm-course/
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Some people asked me about a resource for learning about Transformers. Here's a good one I am sharing again -- it covers just
Some people asked me about a resource for learning about Transformers. Here's a good one I am sharing again -- it covers just about everything you need to know. brandonrohrer.com/transformers Amazing stuff. It's totally worth your weekend.
#Transformers #DeepLearning #NLP #AI #MachineLearning #SelfAttention #DataScience #Technology #Python #LearningResource
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