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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 67 823 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 67 823 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 56 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.96%. Within the first 24 hours after publication, content typically collects 2.43% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 683 views. Within the first day, a publication typically gains 1 650 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 12 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
No data24 hours
-127 days
+5630 days
Posts Archive
We are making a great effort in the channel to provide more courses, posts and books free Please do us a favor by registering with this bot; it will be a strong support for us to continue the channel. Register here free: https://t.me/PAWSOG_bot/PAWS?startapp=U1HbsdGP

Repost from Data Science Books
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Repost from Data Science Books
Coursera has launched a collaboration with the PAWS platform to enable students to self-fund using the Paws platform. Students can now access free Coursera scholarships through PAWS. Don't miss the opportunity: Click here.

Everyone who earns money through Dogs, Notcoin and Hamster bots will have their balance added to this bot automatically.

As a channel owner and experienced in making money using cryptocurrencies I recommend this bot https://t.me/PAWSOG_bot/PAWS?startapp=U1HbsdGP Profits will be distributed within a few days, average profits are $100 and above depending on the number of tasks you perform during the next few days In a future post, I will explain how these bots work and what algorithms they follow.

Repost from Data Science Books
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Repost from Tech Jobs Hub
Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.

Bayes’ theorem, clearly explained Is it useful to you ❓ , donate us using ⭐️ πŸ“‚ Tags: #DataScience #Python #ML #AI http://t.m
Bayes’ theorem, clearly explained Is it useful to you ❓ , donate us using ⭐️ πŸ“‚ Tags: #DataScience #Python #ML #AI http://t.me/codeprogrammer ⭐️ The opportunity is only seized by the wise and does not come around twice.

Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Amazing graphical representation of a neural net, never seen anything like it. Is it useful to you ❓ , donate us using ⭐️ πŸ“‚ Tags: #DataScience #Python #ML #AI #Pandas http://t.me/codeprogrammer ⭐️

Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

NumPy cheat sheet for Data Scientists Is it useful to you ❓ , donate us using ⭐️ πŸ“‚ Tags: #DataScience #Python #ML #AI #Panda
NumPy cheat sheet for Data Scientists Is it useful to you ❓ , donate us using ⭐️ πŸ“‚ Tags: #DataScience #Python #ML #AI #Pandas http://t.me/codeprogrammer ⭐️

Python Pandas Cheat Sheet Is it useful to you ❓ , donate us using ⭐️ πŸ“‚ Tags: #DataScience #Python #ML #AI #Pandas http://t.m
Python Pandas Cheat Sheet Is it useful to you ❓ , donate us using ⭐️ πŸ“‚ Tags: #DataScience #Python #ML #AI #Pandas http://t.me/codeprogrammer ⭐️

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Repost from Auto Udemy
Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Repost from Kaggle Data Hub
Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Using Normalization Layers to Improve Deep Learning Models Link: https://machinelearningmastery.com/using-normalization-layer
Using Normalization Layers to Improve Deep Learning Models Link: https://machinelearningmastery.com/using-normalization-layers-to-improve-deep-learning-models/ Is it useful to you ❓ , donate us using ⭐️ πŸ“‚ Tags: #DataScience #Python #ML #AI #LLM http://t.me/codeprogrammer ⭐️

How to deal with outliers clearly explained Is it useful to you ❓ , donate us using ⭐️ πŸ“‚ Tags: #DataScience #Python #ML #AI
How to deal with outliers clearly explained Is it useful to you ❓ , donate us using ⭐️ πŸ“‚ Tags: #DataScience #Python #ML #AI #LLM http://t.me/codeprogrammer ⭐️