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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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📈 Telegram 频道 Machine Learning with Python 的分析概览

频道 Machine Learning with Python (@codeprogrammer) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 68 482 名订阅者,在 教育 类别中位列第 2 406,并在 印度 地区排名第 4 586 位。

📊 受众指标与增长动态

自 невідомо 创建以来,项目保持高速增长,吸引了 68 482 名订阅者。

根据 04 十一月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -75,过去 24 小时变化为 7,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 3.38%。内容发布后 24 小时内通常能获得 1.57% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 2 314 次浏览,首日通常累积 1 073 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 9。
  • 主题关注点: 内容集中在 insidead, learning, degree, evaluation, algorithm 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

凭借高频更新(最新数据采集于 05 十一月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

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68 482
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+724 小时
-597 天
-7530 天
帖子存档
Take Screenshots using Python #python http://t.me/codeprogrammer
Take Screenshots using Python #python http://t.me/codeprogrammer

The LLM Scientist Roadmap Ready to become an LLM Scientist? Follow this roadmap to unlock your potential and master the art o
The LLM Scientist Roadmap Ready to become an LLM Scientist? Follow this roadmap to unlock your potential and master the art of Large Language Models. #LLM #DataScience #Roadmap https://t.me/DataScienceM ❤️

Football Analysis in Python with Yolov8 & OpenCV Video: https://youtu.be/yJWAtr3kvPU?si=Ix9t3QiXR3jwbog7 Deep learning web ap
Football Analysis in Python with Yolov8 & OpenCV Video: https://youtu.be/yJWAtr3kvPU?si=Ix9t3QiXR3jwbog7 Deep learning web application for football analysis with Streamlit. Used material links: Project repo: https://github.com/Hmzbo/Football-Analytics-with-Deep-Learning-and-Computer-Vision Custom dataset tips: https://docs.ultralytics.com/yolov5/tutorials/tips_for_best_training_results/ Annotation tools: labelme: https://github.com/wkentaro/labelme cvat: https://github.com/opencv/cvat

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🖥 How to hide secret text inside an image using Python? Nothing complicated, you just need the Stegano library: # pip instal
🖥 How to hide secret text inside an image using Python? Nothing complicated, you just need the Stegano library:
# pip install stegano

from stegano import lsb
secret = lsb.hide('image.png', 'very secret text')
secret.save('secret_image.png')

print(lsb.reveal('secret_image.png'))
A quick question: how is this ability to store text in a picture implemented? How easy is it to detect such text hiding? 🖥 GitHub http://t.me/codeprogrammer ⭐️⭐️

https://t.me/dogshouse_bot/join?startapp=NiPXX1NOSf6pv9CQNPKWpQ Find out the age of your account on Telegram, the extent of its impact on the Telegram audience, and whether your account is an influential account or a normal account for Telegram

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