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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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๐Ÿ“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 67 813 subscribers, ranking 2 417 in the Education category and 5 033 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 67 813 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 56 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.96%. Within the first 24 hours after publication, content typically collects 2.43% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 683 views. Within the first day, a publication typically gains 1 650 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.

๐Ÿ“ Description and content policy

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

Thanks to the high frequency of updates (latest data received on 12 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.

67 813
Subscribers
No data24 hours
-127 days
+5630 days
Posts Archive
Please 2๏ธโƒฃ9๏ธโƒฃ likes or โญ๏ธ

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๐Ÿ‘ฉโ€๐Ÿ’ป algorithms is a useful repository with a collection of algorithms implemented in Python! ๐ŸŒŸ It covers a wide range of a
๐Ÿ‘ฉโ€๐Ÿ’ป algorithms is a useful repository with a collection of algorithms implemented in Python! ๐ŸŒŸ It covers a wide range of algorithmic topics, including sorting, searching, graph manipulation, data structures, dynamic programming, cryptography, and more. The main goal of the repository is to provide an educational resource for learning algorithms and improving programming skills. ๐Ÿ” License: MIT ๐Ÿ–ฅ Github https://t.me/CodeProgrammer โœ…

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