uz
Feedback
Data Science

Data Science

Kanalga Telegram’da o‘tish

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 41 811 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
-724 soatlar
-637 kunlar
-11330 kunlar
Postlar arxiv
Artificial Intelligence for Marketing Github @datascienceiot
Artificial Intelligence for Marketing Github @datascienceiot

Classic Computer Science Problems in Python Github @datascienceiot
Classic Computer Science Problems in Python Github @datascienceiot

Deep Learning: State of the Art (2020) Book @datascienceiot

Data Analysis with Pandas @datascienceiot

An Introduction to Machine Learning Interpretability Github @datascienceiot
An Introduction to Machine Learning Interpretability Github @datascienceiot

Machine Learning Pocket Reference: Working with Structured Data in Python Github @datascienceiot
Machine Learning Pocket Reference: Working with Structured Data in Python Github @datascienceiot

Learning Pandas Github @datascienceiot
Learning Pandas Github @datascienceiot

Numpy tutorial Github @datascienceiot
Numpy tutorial Github @datascienceiot

Scipy Linear Algebra @datascienceiot

Agile Machine Learning: Effective Machine Learning Inspired by the Agile Manifesto (2019) @datascienceiot

Big Data, Data Mining, and Machine Learning @datascienceiot

Flask Web Development @pythonlbooks

Beginning Apache Spark 2 @datascienceiot

Data Scientists at Work

Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python @pythonlbooks

Strategic Engineering for Cloud Computing and Big Data Analytics @datascienceiot

Veracity of Big Data @datascienceiot

📚Fresh book by Nassim Taleb Statistical Consequences of Fat Tails: Real World Preasymptotics, Epistemology, and Applications https://arxiv.org/abs/2001.10488 @ai_machinelearning_big_data

📚Fresh book by Nassim Taleb Statistical Consequences of Fat Tails: Real World Preasymptotics, Epistemology, and Applications https://arxiv.org/abs/2001.10488