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Data science/ML/AI

Data science/ML/AI

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Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

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πŸ“ˆ Analytical overview of Telegram channel Data science/ML/AI

Channel Data science/ML/AI (@datascience_bds) in the English language segment is an active participant. Currently, the community unites 13 667 subscribers, ranking 9 381 in the Technologies & Applications category and 31 693 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 13 667 subscribers.

According to the latest data from 08 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 150 over the last 30 days and by 4 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 7.97%. Within the first 24 hours after publication, content typically collects 2.27% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 089 views. Within the first day, a publication typically gains 310 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
  • Thematic interests: Content is focused on key topics such as panda, learning, row, api, ethic.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œData science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...”

Thanks to the high frequency of updates (latest data received on 09 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 Technologies & Applications category.

13 667
Subscribers
+424 hours
+437 days
+15030 days
Posts Archive
MACHINE LEARNING EXPERT IN NINE STEPS
MACHINE LEARNING EXPERT IN NINE STEPS

IMAGE PROMPTING CHEATSHEET
IMAGE PROMPTING CHEATSHEET

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Machine Learning
Machine Learning

HOW NEURAL NETWORKS RECOGNIZES A DOG
HOW NEURAL NETWORKS RECOGNIZES A DOG

CLASSICAL NLP
CLASSICAL NLP

Importing and Exporting Data
Importing and Exporting Data

Parsing and Data Extraction
Parsing and Data Extraction

MACHINE LEARNING ALGORITHMS
MACHINE LEARNING ALGORITHMS

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