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Data Science

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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 41 811 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 226-o'rinni va Rossiya mintaqasida 15 215-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 41 811 obunachiga ega bo‘ldi.

28 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -113 ga, so‘nggi 24 soatda esa -7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 5.78% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.45% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 417 marta ko‘riladi; birinchi sutkada odatda 1 024 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 29 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.

41 811
Obunachilar
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-11330 kunlar
Postlar arxiv
Deep Learning for Natural Language Processing: Creating Neural Networks with Python Github @datascienceiot
Deep Learning for Natural Language Processing: Creating Neural Networks with Python Github @datascienceiot

Introducing Data Science @datascienceiot
Introducing Data Science @datascienceiot

Beginning Artificial Intelligence with the Raspberry Pi Github @datascienceiot
Beginning Artificial Intelligence with the Raspberry Pi Github @datascienceiot

Deep Reinforcement Learning with Guar Performance @datascienceiot
Deep Reinforcement Learning with Guar Performance @datascienceiot

Prealgebra via Python programming - 2018 @pythonlbooks

Introduction to Deep Learning @datascienceiot
Introduction to Deep Learning @datascienceiot

Fundamentals Of Python: Data Structures Github @datascienceiot
Fundamentals Of Python: Data Structures Github @datascienceiot

Data Mining Algorithms in C++ @datascienceiot
Data Mining Algorithms in C++ @datascienceiot

Follow us on Instagram! Where we post coding problems and solutions solved in Python apply your book knowledge to solve probl
Follow us on Instagram! Where we post coding problems and solutions solved in Python apply your book knowledge to solve problems 💪 join now our Instagram https://www.instagram.com/pythonforcoding?r=nametag

Python Deep Learning: Exploring deep learning techniques, neural network architectures and GANs with PyTorch, Keras and Tenso
Python Deep Learning: Exploring deep learning techniques, neural network architectures and GANs with PyTorch, Keras and TensorFlow @datascienceiot

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Mastering SciPy @pythonlbooks

Deep Learning for Search - 2019 @datascienceiot

Python Machine Learning @datascienceiot

Make Your Own Python Text Adventure @pythonlbooks

Python Data Analytics Github @pythonlbooks
Python Data Analytics Github @pythonlbooks

Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning (2019) @pythonlbooks

Text Analytics with Python: A Practitioner's Guide to Natural Language Processing Github @datascienceiot
Text Analytics with Python: A Practitioner's Guide to Natural Language Processing Github @datascienceiot

Derivatives Analytics with Python Book @datascienceiot
Derivatives Analytics with Python Book @datascienceiot

Deep Learning for Computer Vision with Python Github @datascienceiot
Deep Learning for Computer Vision with Python Github @datascienceiot