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 India5 033 Education2 417...

📈 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 67 816 subscribers, ranking 2 417 in the Education category and 5 033 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 67 816 subscribers.

According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 49 over the last 30 days and by -10 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.61%. Within the first 24 hours after publication, content typically collects 2.40% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 770 views. Within the first day, a publication typically gains 1 628 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 11 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.

67 816

Subscribers

-1024 hours

-17 days

+4930 days

1 770

Post views

~ 1 62824 hours

~ 2 19748 hours

2.61%

Engagement rate

~ 3

Posts per day

Ads index

beta

Posts Archive

67 816

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67 816

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Keras Cheat Sheet: Neural Networks in Python By Sandeep Sharma

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Python #Pandas Cheat Sheet 🐼

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🔥 MIT has updated its famous course 6.S191: Introduction to Deep Learning.

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Machine Learning Glossary Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more. Link: https://ml-cheatsheet.readthedocs.io/en/latest/index.html

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TensorFlow v2.0 Cheat Sheet

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