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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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πŸ“ˆ Analytical overview of Telegram channel Machine Learning with Python

Channel Machine Learning with Python (@codeprogrammer) in the English language segment is an active participant. Currently, the community unites 67 810 subscribers, ranking 2 427 in the Education category and 5 028 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 67 810 subscribers.

According to the latest data from 13 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 60 over the last 30 days and by -3 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.31%. Within the first 24 hours after publication, content typically collects 1.69% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 926 views. Within the first day, a publication typically gains 1 148 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
  • Thematic interests: Content is focused on key topics such as insidead, learning, degree, evaluation, algorithm.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

Thanks to the high frequency of updates (latest data received on 14 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

67 810
Subscribers
-324 hours
-77 days
+6030 days
Posts Archive
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⚑️ Neural Networks: Zero to Hero - a block of 8 lectures and practical exercises from Andrey Karpati This is a course on neur
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⚑️ Neural Networks: Zero to Hero - a block of 8 lectures and practical exercises from Andrey Karpati This is a course on neural networks from the very basics, perhaps the best on the entire Internet. The course is a series of YouTube videos in which Karpathy shows how to design and train neural networks. All these results are written in Jupyter-Notebooks, you can download them and experiment ▢️ Neural Networks: Zero to Hero βœ…οΈ http://t.me/codeprogrammer βœ…οΈ

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⚑️ Big ML cheat sheet Here you will find the basic theory of Machine Learning and examples of the implementation of specific
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⚑️ Big ML cheat sheet Here you will find the basic theory of Machine Learning and examples of the implementation of specific ML algorithms - in general, this is just the thing to brush up on your knowledge before the interview. πŸ“Ž Crib βœ…οΈ http://t.me/codeprogrammer βœ…οΈ

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