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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 41 818 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 219-o'rinni va Rossiya mintaqasida 15 236-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 41 818 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.

41 818
Obunachilar
+424 soatlar
-627 kunlar
-10230 kunlar
Postlar arxiv
Build a Career in Data Science (2020) @datascienceiot

Neural Networks: A Visual Introduction for Beginners by Michael Taylor @datascienceiot

Practical time series analysis: master time series data processing, visualization, and modeling using Python @pythonlbooks

Machine Learning for Algorithmic Trading (2020) @datascienceiot

Linear Algebra and Learning from Data (2019) @datascienceiot

Natural Language Processing Recipes - 2019 Github @datascienceiot
Natural Language Processing Recipes - 2019 Github @datascienceiot

Mastering pandas for Finance Github @datascienceiot
Mastering pandas for Finance Github @datascienceiot

Artificial Intelligence for Big Data Github @datascienceiot
Artificial Intelligence for Big Data Github @datascienceiot

PySpark Recipes Github @datascienceiot
PySpark Recipes Github @datascienceiot

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python - 2020 Github @datascienceiot
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python - 2020 Github @datascienceiot

Practical Synthetic Data Generation (2020) Github @datascienceiot
Practical Synthetic Data Generation (2020) Github @datascienceiot

Deep Learning for Coders with fastai and PyTorch (2020) Github @datascienceiot
Deep Learning for Coders with fastai and PyTorch (2020) Github @datascienceiot

Intro to Python for Computer Science and Data Science - 2020 @pythonlbooks

Глубокое обучение без математики. Практика @datascienceiot
Глубокое обучение без математики. Практика @datascienceiot

Advanced Deep Learning with TensorFlow 2 and Keras (2020) @datascienceiot

Practical Natural Language Processing (2020) @datascienceiot

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data @datascienceiot

Hands-On Data Analysis with Pandas - 2019 @datascienceiot

R Programming: A Step-by-Step Guide for Absolute Beginners (2020) @datascienceiot

Data Science and Analytics with Python @pythonlbooks