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Coding Learning

Coding Learning

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πŸ“ˆ Analytical overview of Telegram channel Coding Learning

Channel Coding Learning (@codingdrive) in the English language segment is an active participant. Currently, the community unites 14 101 subscribers, ranking 14 511 in the Education category and 28 163 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 14 101 subscribers.

According to the latest data from 27 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 243 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 14.99%. Within the first 24 hours after publication, content typically collects 3.35% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 113 views. Within the first day, a publication typically gains 473 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 implementation, llm, dive, autogen, structure.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œBackup”

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

14 101
Subscribers
+724 hours
+337 days
+24330 days
Posts Archive
06 - Deep Convolutional QLearning Implementation - Part 02

06 - Deep Convolutional QLearning Implementation - Part 01

05 - Deep Convolutional QLearning Intuition

04 - Deep QLearning Implementation - Part 03

04 - Deep QLearning Implementation - Part 02

04 - Deep QLearning Implementation - Part 01

03 - Deep QLearning Intuition

02 - QLearning Intuition

01 - Welcome to the course

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