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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 ๐Ÿ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

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๐Ÿ“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 13 685 subscribers, ranking 9 380 in the Technologies & Applications category and 31 607 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 13 685 subscribers.

According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 143 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 8.09%. Within the first 24 hours after publication, content typically collects 2.22% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 106 views. Within the first day, a publication typically gains 304 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.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€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 ๐Ÿ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...โ€

Thanks to the high frequency of updates (latest data received on 11 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.

13 685
Subscribers
+224 hours
+217 days
+14330 days
Posts Archive
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SQL Window Functions.pdf1.64 KB

In a regression model, when does the model fit the data relatively well?
Anonymous voting

๐Ÿ”ฅBest Data Science Hackathon Platforms ๐Ÿ”ฅ 1) MachineHack https://machinehack.com/hackathons 2) Kaggle https://www.kaggle.com/competitions 3) HackerEarth https://www.hackerearth.com/challenges/ 4) DataHack https://datahack.analyticsvidhya.com/ 5) DrivenData https://www.drivendata.org/competitions/ 6) Techgig https://www.techgig.com/challenge โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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Data Science GitHub Repositories freeCodeCamp https://github.com/freeCodeCamp/freeCodeCamp Data Science For Beginners https://github.com/microsoft/Data-Science-For-Beginners The Open Source Data Science Masters https://github.com/datasciencemasters/ Free Data Science Books https://github.com/chaconnewu/free-data-science-books Data Science Curriculum https://github.com/ossu/data-science Awesome Data Science https://github.com/academic/awesome-datascience Data Science All Cheat Sheet https://github.com/yash42828/Data-Science--All-Cheat-Sheet Best of ML with Python https://github.com/ml-tooling/best-of-ml-python Data Science Interview Resources - Interview Questions https://github.com/rbhatia46/Data-Science-Interview-Resources #data_science #ml โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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๐Ÿ”ฅ๐Ÿ”ฅBuild GPT: from scratch, in code, spelled out๐Ÿ”ฅ๐Ÿ”ฅ. If you're a beginner interested in learning about Neural Networks, Andrej Karpathy Youtube-series on  "Neural Networks: Zero to Hero" can introduce you to the basics of Neural Networks and language modeling. Already have this knowledge and want to do an amazing project?๐Ÿ˜ His new course on how to build your own GPT!๐Ÿ˜ฑ from scratch is a must watch. Link: https://youtu.be/kCc8FmEb1nY Interesting not only for beginners, but for pro's as well to recap and grab new details #ai #deeplearning #neuralnetworks #gpt โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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LEETCODE SQL QUESTIONS WITH SOLUTIONS

DON'T DO THESE DATA SCIENCE MISTAKES
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DON'T DO THESE DATA SCIENCE MISTAKES

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