Data science/ML/AI

前往频道在 Telegram

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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网络:Programming, data science, ML - free courses by Big Data Specialist 印度28 863 技术与应用8 914...

📈 Telegram 频道 Data science/ML/AI 的分析概览

频道 Data science/ML/AI (@datascience_bds) 英语语言赛道中的是活跃参与者。目前社区聚集了 13 906 名订阅者，在 技术与应用 类别中位列第 8 914，并在印度地区排名第 28 863 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 13 906 名订阅者。

根据 29 八月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 86，过去 24 小时变化为 0，整体触达仍然可观。

认证状态： 未认证
互动率 (ER)： 平均受众互动率为 7.48%。内容发布后 24 小时内通常能获得 2.04% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 1 039 次浏览，首日通常累积 284 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 5。
主题关注点： 内容集中在 panda, learning, row, api, ethic 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台：
“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...”

凭借高频更新（最新数据采集于 30 八月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。

13 906

订阅者

无数据24 小时

-57 天

+8630 天

1 039

帖子浏览量

~ 28424 小时

~ 41048 小时

7.48%

参与率

~ 1

每日帖子数

Ads index

beta

帖子存档

13 906

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🔥2023 MIT Introduction to Deep Learning 2023 Program has started! 🚀 Course http://introtodeeplearning.com/ ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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SQL Window Functions.pdf1.64 KB

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

Anonymous voting

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🔥Best Data Science Hackathon Platforms 🔥 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 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 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 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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🔥🔥Build GPT: from scratch, in code, spelled out🔥🔥. 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?😍 His new course on how to build your own GPT!😱 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 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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LEETCODE SQL QUESTIONS WITH SOLUTIONS

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DON'T DO THESE DATA SCIENCE MISTAKES

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STATISTICS FOR DATA SCIENCE COURSE Complete Statistics for Data Science in 6 hrs by Krish Naik https://youtu.be/LZzq1zSL1bs #data_science #stat ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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https://t.me/datascience_bds

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