en
Feedback
AI and Machine Learning

AI and Machine Learning

Open in Telegram

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

Show more

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 94 144 subscribers, ranking 1 548 in the Education category and 2 998 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 94 144 subscribers.

According to the latest data from 28 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 939 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 7.03%. Within the first 24 hours after publication, content typically collects 2.49% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 6 622 views. Within the first day, a publication typically gains 2 343 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 29 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.

94 144
Subscribers
+3724 hours
+2867 days
+93930 days
Posts Archive
19 Appendix - NumPy - Part 01.zip633.84 MB

18 Appendix - Pandas for Data Analysis - Part 02.zip66.18 MB

18 Appendix - Pandas for Data Analysis - Part 01.zip660.03 MB

17 Appendix - Machine Learning and Data Science Framework.zip343.91 MB

16 Appendix - Machine Learning Primer.zip188.43 MB

15 Where To Go From Here.zip0.66 KB

14 Passing the TensorFlow Developer Certificate Exam.zip0.63 KB

13 Milestone Project 3 BitPredict.zip0.63 KB

12 Time Series fundamentals in TensorFlow.zip0.63 KB

11 Milestone Project 2 SkimLit - Part 07.zip216.91 MB

11 Milestone Project 2 SkimLit - Part 06.zip689.89 MB

11 Milestone Project 2 SkimLit - Part 05.zip662.28 MB

11 Milestone Project 2 SkimLit - Part 04.zip565.47 MB

11 Milestone Project 2 SkimLit - Part 03.zip605.93 MB

11 Milestone Project 2 SkimLit - Part 02.zip568.35 MB

11 Milestone Project 2 SkimLit - Part 01.zip567.03 MB

10 NLP Fundamentals in TensorFlow - Part 07.zip280.00 MB

10 NLP Fundamentals in TensorFlow - Part 06.zip618.15 MB

10 NLP Fundamentals in TensorFlow - Part 05.zip681.81 MB

10 NLP Fundamentals in TensorFlow - Part 04.zip589.34 MB