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DS По всем вопросам- @haarrp @ai_machinelearning_big_data - machine learning @pythonl - Python @itchannels_telegram - 🔥 best it channels @ArtificialIntelligencedl - AI @pythonlbooks-📚 @programming_books_it -📚 Реестр РКН: https://clck.ru/3Fk3zS

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📈 Telegram kanali Data Science analitikasi

Data Science (@datascienceiot) kanali faol ishtirokchi. Hozirda hamjamiyat 41 817 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 211-o'rinni va Rossiya mintaqasida 15 203-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 41 817 obunachiga ega bo‘ldi.

27 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -102 ga, so‘nggi 24 soatda esa 4 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 5.68% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.42% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 374 marta ko‘riladi; birinchi sutkada odatda 1 011 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent llm, агентов, api, октября, разработчиков kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
DS По всем вопросам- @haarrp @ai_machinelearning_big_data - machine learning @pythonl - Python @itchannels_telegram - 🔥 best it channels @ArtificialIntelligencedl - AI @pythonlbooks-📚 @programming_books_it -📚 Реестр РКН: https://clck.ru/3...

Yuqori yangilanish chastotasi (oxirgi ma’lumot 28 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

41 817
Obunachilar
+424 soatlar
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-10230 kunlar
Postlar arxiv
Git Essentials @datascienceiot

@yegor256news is an author's English-speaking channel by Yegor Bugayenko, a programmer, blogger, author of Elegant Objects, c
@yegor256news is an author's English-speaking channel by Yegor Bugayenko, a programmer, blogger, author of Elegant Objects, creator of Zerocracy platform and a regular speaker at many major IT-conferences; subscribe and follow his publications!

Algorithms for Dummies @datascienceiot

Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions @datascienceiot

Clever Algorithms @datascienceiot

Internet of Things and Data Analytics Handbook @datascienceiot

Mining Social Media: Finding Stories in Internet Data (2019) @datascienceiot
Mining Social Media: Finding Stories in Internet Data (2019) @datascienceiot

Comprehensive guide on Machine Learning @datascienceiot
Comprehensive guide on Machine Learning @datascienceiot

Gray Hat C#: A Hacker's Guide to Creating and Automating Security Tools @datascienceiot
Gray Hat C#: A Hacker's Guide to Creating and Automating Security Tools @datascienceiot

Guide to Natural Language Processing Github @datascienceiot
Guide to Natural Language Processing Github @datascienceiot

Python Programming for Biology: Bioinformatics and Beyond @pythonl

KB – Neural Data Mining with Python @datascienceiot
KB – Neural Data Mining with Python @datascienceiot

Machine Learning Yearning An Amazing Book By Andrew Ng @datascienceiot
Machine Learning Yearning An Amazing Book By Andrew Ng @datascienceiot

Mastering Natural Language Processing with Python Github @datascienceiot
Mastering Natural Language Processing with Python Github @datascienceiot

Python Deep Learning, Second Edition - 2019 Github @datascienceiot
Python Deep Learning, Second Edition - 2019 Github @datascienceiot

Python Web Scraping @pythonl

Learning Internet of Things @datascienceiot

Python for Data Analysis, 2nd edition - 2019 @datascienceiot

Generative Adversarial Networks with python @datascienceiot

Practical Data Science with Python 3: Synthesizing Actionable Insights from - 2019 @datascienceiot