Data science/ML/AI
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 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist
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Network:📈 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 14 055 subscribers, ranking 9 093 in the Technologies & Applications category and 28 198 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 14 055 subscribers.
According to the latest data from 28 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 90 over the last 30 days and by 2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 9.76%. Within the first 24 hours after publication, content typically collects 2.11% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 372 views. Within the first day, a publication typically gains 297 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
- Thematic interests: Content is focused on key topics such as panda, learning, row, api, ethic.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“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
👉 https://rebrand.ly/bigdatachannels
DMCA: @disclosure_bds
Contact: @mldatasci...”
Thanks to the high frequency of updates (latest data received on 29 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 Technologies & Applications category.
