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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Сеть:Machine Learning with Python Индия5 036 Образование2 429...

📈 Аналитический обзор Telegram-канала Machine Learning with Python

Канал Machine Learning with Python (@codeprogrammer) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 67 826 подписчиков, занимая 2 429 место в категории Образование и 5 036 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 67 826 подписчиков.

Согласно последним данным от 14 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 66, а за последние 24 часа — 5, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 4.52%. В первые 24 часа после публикации контент обычно набирает 1.70% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 3 064 просмотров. В течение первых суток публикация набирает 1 155 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 15 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.

67 826

Подписчики

+524 часа

Нет данных7 дней

+6630 день

3 064

Просмотры поста

~ 1 15524 часа

~ 1 68748 часов

4.52%

Коэффициент вовлеченности

~ 4

Постов в день

Ads index

beta

Архив постов

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Repost from Data Science Books

We have just launched a fundraising campaign for the channel to ensure continued quality service We upload the book via Internet data, and this is expensive for us Participate and contribute to the donation campaign until the target amount is reached Members who will contribute to the donation campaign will receive a free subscription to the paid channel and a LinkedIn grant Donate link: https://boosty.to/datascienceteam/donate

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Repost from Data Science Books

We have just launched a fundraising campaign for the channel to ensure continued quality service We upload the book via Internet data, and this is expensive for us Participate and contribute to the donation campaign until the target amount is reached Donate link: https://boosty.to/datascienceteam/donate

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غدا سنطلق حملة جمع تبرعات للقناة، وسيتم عرض نسبة التقدم أولا من خلال رسالة مثبتة نأمل منكم المشاركة في التبرعات إذا كنتم قادرين على التبرع Tomorrow we will launch a fundraising campaign for the channel, and the progress rate will be displayed first through a pinned message We hope that you will participate in donations if you are able to donate

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🔥 Free Certification Courses from Google to try in 2023. 1. Basics of Machine Learning https://grow.google/intl/en_in/ 2. Machine Learning Crash Course https://coursya.com/product/machine-learning-crash-course 3. Project Execution: Running the Project https://coursera.org/learn/project-execution-google 4. Foundations of Project Management https://coursera.org/learn/project-management-foundations 5. Project Initiation: Starting a Successful Project https://coursera.org/learn/project-initiation-google 6. Project Planning: Putting It All Together https://coursera.org/learn/project-planning-google 7. Google Analytics for Power Users https://coursya.com/product/google-analytics-certification-coursya 8. Fundamentals of digital marketing https://skillshop.exceedlms.com/student/collection/654330-digital-marketing?locale=en-GB 9. Python Basics for Data Analysis https://coursya.com/product/learn-python-basics-for-data-analysis 10. Data Science Foundations https://grow.google/intl/en_in/ 11. Advanced Google Analytics https://coursera.org/professional-certificates/google-data-analytics 12. Google Cloud Computing Foundations: https://cloudskillsboost.google/course_templates/153 13. Data, ML, and AI in Google Cloud https://coursya.com/product/google-cloud-computing-foundations-data-ml-and-ai-in-google-cloud-google-cloud-skills-boost 14. Agile Project Management https://coursera.org/learn/agile-project-management 15. Google Project Management https://coursera.org/professional-certificates/google-project-management https://t.me/CodeProgrammer Please more 100 👍 with our posts

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🖥 Get domain name information using Python $pip install whois $pip install whois

>>> import whois
>>> domain = whois.query('google.com')

>>> print(domain.dict)
{
 'expiration_date': datetime.datetime(2020, 9, 14, 0, 0),
 'last_updated': datetime.datetime(2011, 7, 20, 0, 0),
 'registrar': 'MARKMONITOR INC.',
 'name': 'google.com',
 'creation_date': datetime.datetime(1997, 9, 15, 0, 0)
}

>>> print(domain.name)
google.com

>>> print(domain.expiration_date)
2024-09-14 00:00:00

🌟 Github: https://github.com/DannyCork/python-whois https://t.me/CodeProgrammer Please more 100 👍 with our posts

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How to Perform Face Detection with Deep Learning Face detection is a computer vision problem that involves finding faces in photos. It is a trivial problem for humans to solve and has been solved reasonably well by classical feature-based techniques, such as the cascade classifier. More recently deep learning methods have achieved state-of-the-art results on standard benchmark face detection datasets. One example is the Multi-task Cascade Convolutional Neural Network, or MTCNN for short. In this tutorial, you will discover how to perform face detection in Python using classical and deep learning models. https://machinelearningmastery.com/how-to-perform-face-detection-with-classical-and-deep-learning-methods-in-python-with-keras/

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💼 Briefcase Briefcase is a tool for converting a Python project into a standalone native application. ▪ Github: https://github.com/beeware/briefcase ▪Tutorial: https://briefcase.readthedocs.io/en/stable/ https://t.me/CodeProgrammer Please more reaction with our posts

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