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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 696 Education2 402...

📈 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 68 550 subscribers, ranking 2 402 in the Education category and 4 696 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 550 subscribers.

According to the latest data from 27 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 119 over the last 30 days and by -9 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 3.75%. Within the first 24 hours after publication, content typically collects 1.56% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 572 views. Within the first day, a publication typically gains 1 068 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
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 28 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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68 550

Subscribers

-924 hours

-597 days

+11930 days

2 572

Post views

~ 1 06824 hours

~ 1 44648 hours

3.75%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

68 550

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Repost from N/a

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Repost from Machine Learning

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GRU → remembers efficiently GAN → creates realistic content RNN → understands sequences LSTM → remembers long context

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