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AI and Machine Learning

AI and Machine Learning

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Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

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πŸ“ˆ Analytical overview of Telegram channel AI and Machine Learning

Channel AI and Machine Learning (@machine_learning_courses) in the English language segment is an active participant. Currently, the community unites 94 077 subscribers, ranking 1 547 in the Education category and 3 005 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 94 077 subscribers.

According to the latest data from 26 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 965 over the last 30 days and by 37 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 6.79%. Within the first 24 hours after publication, content typically collects 2.34% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 6 384 views. Within the first day, a publication typically gains 2 203 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 9.
  • Thematic interests: Content is focused on key topics such as learning, llm, linkedin, linux, udemy.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses”

Thanks to the high frequency of updates (latest data received on 27 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.

94 077
Subscribers
+3724 hours
+2267 days
+96530 days
Posts Archive
13 - Documenting ALL the Things!

12 - Refactoring

11 - Finalizing Our Code

10 - Finding More Bugs

09 - Finding Our First Bug(s)

08 - Prompting Our First Code

07 - Confirming Our Install

06 - Installing Python & an IDE

05 - Planning the Solution

04 - Reviewing Existing Documentation

03 - Identifying the Problem

02 - Program Building Phases

01 - Course Intro

πŸ’Έ Programming with AI This course is designed to introduce beginner-level programmers to the fundamentals of writing clean,
πŸ’Έ Programming with AI
This course is designed to introduce beginner-level programmers to the fundamentals of writing clean, efficient code with the help of AI-based programming assistants. It covers best practices in coding, prompt engineering for AI tools, and techniques to accelerate the development process.
πŸ”— Link : https://academy.tcm-sec.com/p/programming-with-ai

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Machine Learning Model
Machine Learning Model

Mind-Controlled Wheelchair

11. Appendix B Introduction To Artificial Intelligence

10. Appendix A Introduction To Cyber Security - Part 02

AI and Machine Learning - Statistics & analytics of Telegram channel @machine_learning_courses