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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

Network:Machine Learning with Python India4 691 Education2 405...

📈 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 68 566 subscribers, ranking 2 405 in the Education category and 4 691 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 566 subscribers.

According to the latest data from 26 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 211 over the last 30 days and by -16 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 3.52%. Within the first 24 hours after publication, content typically collects 1.51% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 414 views. Within the first day, a publication typically gains 1 035 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.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Learn 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 27 October, 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.

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68 566

Subscribers

-1624 hours

-507 days

+21130 days

2 414

Post views

~ 1 03524 hours

~ 1 47148 hours

3.52%

Engagement rate

~ 2

Posts per day

Ads index

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Posts Archive

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Python for Data Science Cheat Sheet.pdf3.72 KB

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Repost from Machine Learning

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