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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 67 835 подписчиков, занимая 2 428 место в категории Образование и 5 035 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 67 835 подписчиков.

Согласно последним данным от 15 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 82, а за последние 24 часа — 13, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 4.40%. В первые 24 часа после публикации контент обычно набирает 1.74% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 2 983 просмотров. В течение первых суток публикация набирает 1 177 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, 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 16 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.

67 835
Подписчики
+1324 часа
+187 дней
+8230 день
Архив постов
Get started in Data Science with Microsoft's FREE course for beginners. - 10 weeks - 20 lessons - Lecture notes - 100% FREE h
Get started in Data Science with Microsoft's FREE course for beginners. - 10 weeks - 20 lessons - Lecture notes - 100% FREE https://microsoft.github.io/Data-Science-For-Beginners/ https://t.me/DataScienceT

Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatica
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatically add you to all channels Please update telegram version

Repost from AI & ML Papers
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatica
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatically add you to all channels Please update telegram version

Google just dropped Generative AI learning path with 9 courses: 🤖: Intro to Generative AI 🤖: Large Language Models 🤖: Responsible AI 🤖: Image Generation 🤖: Encoder-Decoder 🤖: Attention Mechanism 🤖: Transformers and BERT Models 🤖: Create Image Captioning Models 🤖: Intro to Gen AI Studio 🌐 Link: https://www.cloudskillsboost.google/paths/118 https://t.me/DataScienceT

Repost from AI & ML Papers
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatica
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatically add you to all channels Please update telegram version

Repost from AI & ML Papers
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatica
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatically add you to all channels Please update telegram version

80+ Jupyter Notebook tutorials on image classification, object detection and image segmentation in various domains 📌 Agricul
80+ Jupyter Notebook tutorials on image classification, object detection and image segmentation in various domains 📌 Agriculture and Food 📌 Medical and Healthcare 📌 Satellite 📌 Security and Surveillance 📌 ADAS and Self Driving Cars 📌 Retail and E-Commerce 📌 Wildlife Classification library https://github.com/Tessellate-Imaging/monk_v1 Notebooks - https://github.com/Tessellate-Imaging/monk_v1/tree/master/study_roadmaps/4_image_classification_zoo Detection and Segmentation Library https://github.com/Tessellate-Imaging/ Monk_Object_Detection Notebooks: https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo https://t.me/DataScienceT

Repost from AI & ML Papers
Data Science With Python Workflow Cheat Sheet Creator: business Science Stars ⭐️: 75 Forked By: 38 https://github.com/busines
Data Science With Python Workflow Cheat Sheet Creator: business Science Stars ⭐️: 75 Forked By: 38 https://github.com/business-science/cheatsheets/blob/master/Data_Science_With_Python_Workflow.pdf https://t.me/DataScienceT

How do Transformers work? All the Transformer models mentioned above (GPT, BERT, BART, T5, etc.) have been trained as languag
How do Transformers work? All the Transformer models mentioned above (GPT, BERT, BART, T5, etc.) have been trained as language models. This means they have been trained on large amounts of raw text in a self-supervised fashion. Self-supervised learning is a type of training in which the objective is automatically computed from the inputs of the model. That means that humans are not needed to label the data! This type of model develops a statistical understanding of the language it has been trained on, but it’s not very useful for specific practical tasks. Because of this, the general pretrained model then goes through a process called transfer learning. During this process, the model is fine-tuned in a supervised way — that is, using human-annotated labels — on a given task 🔗 Read More

"Stay up-to-date with the latest information and news in the field of Data Science and Data Analysis by following the DataScienceT channel on Telegram #DataScience #Telegram #DataAnalysis #BigData #MachineLearning #ArtificialIntelligence #DataMining #DataVisualization #Statistics #Python #RProgramming #DeepLearning #NeuralNetworks #NaturalLanguageProcessing #BusinessIntelligence #Analytics #DataEngineering #DataManagement #DataQuality #DataGovernance" https://t.me/DataScienceT

💥 Learn Programming With Go (Golang), One Game at a Time 📃 Learn the fundamentals of programming with Go through a lot of e
💥 Learn Programming With Go (Golang), One Game at a Time 📃 Learn the fundamentals of programming with Go through a lot of exercises & by building your own games! 📃 Taught By: Preslav Mihaylov 🌐 Download Full Course: https://t.me/+xIYRmZxpAog5YTdk ⭐️ Python Courses: https://t.me/Python53

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More ♥️👍 = more important projects

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Speech to Text using Python ✅ More ♥️♥️ = more posts @CodeProgrammer ♥️
Speech to Text using Python ✅ More ♥️♥️ = more posts @CodeProgrammer ♥️

Create an Audiobook in Python
Create an Audiobook in Python

The Data Science and Python channel is for researchers and advanced programmers Subscribe: t.me/DataScienceT

More ♥️👍 = more important projects

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Sending_emails_using_python.py0.01 KB

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