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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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πŸ“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 67 815 subscribers, ranking 2 419 in the Education category and 5 033 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 67 815 subscribers.

According to the latest data from 12 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 57 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.13%. Within the first 24 hours after publication, content typically collects 1.69% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 799 views. Within the first day, a publication typically gains 1 149 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.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn 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 13 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.

67 815
Subscribers
+324 hours
-187 days
+5730 days
Posts Archive
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CS229 Lectures Notes (2023) By: Andrew Ng & Tengyu Ma Is it useful to you ❓ πŸ“‚ Tags: #ML #Ai #RAG #LLM http://t.me/codeprogrammer ⭐️

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Understanding RAG Part I: Why It’s Needed Details: https://machinelearningmastery.com/understanding-rag-part-i-why-its-needed
Understanding RAG Part I: Why It’s Needed Details: https://machinelearningmastery.com/understanding-rag-part-i-why-its-needed/ Is it useful to you ❓ πŸ“‚ Tags: #ML #Ai #RAG #LLM http://t.me/codeprogrammer ⭐️

Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform. Students can now access free Coursera scholarships through MAJOR. Don't miss the opportunity: Click here.

The only bot on Telegram that distributes prizes directly and without an air drop. The bot is based on breaking the egg. Every time you break the egg, you will get 20 TON, equivalent to $150 - It takes a maximum of 9 days to break the egg. I personally use it and have broken the egg more than 3 times in 15 days. Break the egg here. https://t.me/Yaytsogram_bot?start=invite5981767

The only bot on Telegram that distributes prizes directly and without an air drop. The bot is based on breaking the egg. Every time you break the egg, you will get 20 TON, equivalent to $150 - It takes a maximum of 9 days to break the egg. I personally use it and have broken the egg more than 3 times in 15 days. Break the egg here. https://t.me/Yaytsogram_bot?start=invite5981767

Repost from Auto Udemy
The only bot on Telegram that distributes prizes directly and without an air drop. The bot is based on breaking the egg. Every time you break the egg, you will get 20 TON, equivalent to $150 - It takes a maximum of 9 days to break the egg. I personally use it and have broken the egg more than 3 times in 15 days. Break the egg here. https://t.me/Yaytsogram_bot?start=invite5981767

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explaining the concept of RAG (Retrieval-Augmented Generation) in a simple and easy-to-understand way. Is it useful to you ❓ πŸ“‚ Tags: #ML #Ai #RAG #LLM http://t.me/codeprogrammer ⭐️

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25 Most Important Mathematical Definitions in Data Science More details: https://blog.dailydoseofds.com/p/25-most-important-m
25 Most Important Mathematical Definitions in Data Science More details: https://blog.dailydoseofds.com/p/25-most-important-mathematical-definitions Is it useful to you ❓ πŸ“‚ Tags: #ML #Ai #DataScience http://t.me/codeprogrammer ⭐️

Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform. Students can now access free Coursera scholarships through MAJOR. Don't miss the opportunity: Click here.

We will be giving away free Coursera scholarships starting November of this year. For those who want to register, you must re
We will be giving away free Coursera scholarships starting November of this year. For those who want to register, you must register using this bot. Acceptance messages will be sent via Telegram (I will contact you) Register here : Automatic registration

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Machine Learning with Python - Statistics & analytics of Telegram channel @codeprogrammer