Machine Learning with Python

Open in Telegram

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 India5 047 Education2 412...

📈 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 67 823 subscribers, ranking 2 412 in the Education category and 5 047 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 67 823 subscribers.

According to the latest data from 08 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 50 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.79%. Within the first 24 hours after publication, content typically collects 2.60% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 895 views. Within the first day, a publication typically gains 1 764 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
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 09 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.

67 823

Subscribers

-524 hours

+227 days

+5030 days

1 895

Post views

~ 1 76424 hours

~ 2 39848 hours

2.79%

Engagement rate

~ 4

Posts per day

Ads index

beta

Posts Archive

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Repost from Machine Learning

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Repost from Github Top Repositories

Eye control with Python EyeGestures is an open-source Python library for gaze tracking. It uses regular cameras, webcams, or smartphone cameras to track eye movement, fixations, and blinks, and convert these into events such as cursor control by eye movement. The JavaScript version allows running everything directly in the browser. Installation:

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$ pip install -r requirements.txt

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Repost from Data Analytics

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