Data Science & Machine Learning Resources

📈 Analytical overview of Telegram channel Data Science & Machine Learning Resources

Channel Data Science & Machine Learning Resources (@datalemur) in the English language segment is an active participant. Currently, the community unites 20 499 subscribers, ranking 9 798 in the Education category and 21 232 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 20 499 subscribers.

According to the latest data from 19 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 160 over the last 30 days and by -8 over the last 24 hours, overall reach remains high.

• Verification status: Not verified
• Engagement rate (ER): The average audience engagement rate is 2.23%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
• Post reach: On average, each post receives 457 views. Within the first day, a publication typically gains 0 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 |--, learning, insidead, database, sql.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free Admin: @love_data Buy ads: https://telega.io/c/datalemur”

Thanks to the high frequency of updates (latest data received on 20 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.