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Machine Learning & Artificial Intelligence | Data Science Free Courses

Machine Learning & Artificial Intelligence | Data Science Free Courses

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Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun

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πŸ“ˆ Analytical overview of Telegram channel Machine Learning & Artificial Intelligence | Data Science Free Courses

Channel Machine Learning & Artificial Intelligence | Data Science Free Courses (@datasciencefree) in the English language segment is an active participant. Currently, the community unites 66 773 subscribers, ranking 2 441 in the Education category and 431 in the Malaysia 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 66 773 subscribers.

According to the latest data from 27 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 489 over the last 30 days and by 7 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 0.61%. Within the first 24 hours after publication, content typically collects 0.78% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 408 views. Within the first day, a publication typically gains 524 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as sellerflash, waybienad, pricing, buybox, buyer.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œPerfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun”

Thanks to the high frequency of updates (latest data received on 28 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.

66 773
Subscribers
+724 hours
+1137 days
+48930 days
Posts Archive
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15. Support Vector Machines

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13. Logistic Regression - Part 02

13. Logistic Regression - Part 01

12. Cross Validation , Grid Search, and the Linear Regression Project

11. Feature Engineering and Data Preparation

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10. Linear Regression - Part 01

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10. Linear Regression - Part 03