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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

Ko'proq ko'rsatish

📈 Telegram kanali Data Science analitikasi

Data Science (@datascienceiot) kanali faol ishtirokchi. Hozirda hamjamiyat 41 823 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 222-o'rinni va Rossiya mintaqasida 15 276-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 41 823 obunachiga ega bo‘ldi.

25 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -111 ga, so‘nggi 24 soatda esa -6 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.17% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.48% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 579 marta ko‘riladi; birinchi sutkada odatda 1 037 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 26 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.

41 823
Obunachilar
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-707 kunlar
-11130 kunlar
Postlar arxiv
R and Python for oceanographers ⬇️ Book @datascienceiot
R and Python for oceanographers ⬇️ Book @datascienceiot

Hands-On Python Natural Language Processing - 2020 📖 Github @datascienceiot
Hands-On Python Natural Language Processing - 2020 📖 Github @datascienceiot

Genomics in the Cloud: Using Docker, GATK, and WDL in Terra (2021) Github @datascienceiot
Genomics in the Cloud: Using Docker, GATK, and WDL in Terra (2021) Github @datascienceiot

Python for Algorithmic Trading: From Idea to Cloud Deployment Yves Hilpisch (2021) ⬇️ Download @datascienceiot
Python for Algorithmic Trading: From Idea to Cloud Deployment Yves Hilpisch (2021) ⬇️ Download @datascienceiot

Python Data Analysis, Third Edition - 2021 📖 Book @datascienceiot
Python Data Analysis, Third Edition - 2021 📖 Book @datascienceiot

Ultimate Step by Step Guide to Machine Learning Using Python - 2020 @datascienceiot

📘 D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions Github: https://github.com/d2l-ai/d2l-en Book: https://d2l.ai/ Paper: https://arxiv.org/abs/2106.11342v1 @ai_machinelearning_big_data

Data Mining. Practical Machine Learning Tools and Techniques, Fourth Edition @datascienceiot

Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection - 2019 @datascienceiot

Math for Programmers, Version 10 - 2020 @datascienceiot

Beginning Machine Learning in the Browser (2021) @datascienceiot

Deep Learning. A Visual Apporoach @datascienceiot

Hands-On Simulation Modeling with Python - 2020 @datascienceiot

Applied Natural Language Processing in the Enterprise @datascienceiot

Advanced Analytics in Power BI with R and Python: Ingesting,Transforming, Visualizing - 2020 @datascienceiot

Probabilistic Deep Learning (2020) @datascienceiot

Representation Learning for Natural Language Processing (2020) @datascienceiot

Python Bootcamp: Exercises and Projects (2021) ⬇️ Download @datascienceiot
Python Bootcamp: Exercises and Projects (2021) ⬇️ Download @datascienceiot

Python Machine Learning. Scikit-Learn and TensorFlow @datascienceiot

Python Continuous Integration and Delivery: A Concise Guide with Examples @datascienceiot