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Zero To Mastery

Zero To Mastery

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Zero To Mastery (@zero_to_mastery) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 144 904 obunachidan iborat bo'lib, Taʼlim toifasida 776-o'rinni va Hindiston mintaqasida 1 430-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 144 904 obunachiga ega bo‘ldi.

28 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 21 ga, so‘nggi 24 soatda esa 19 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 9.13% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 3.37% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 13 236 marta ko‘riladi; birinchi sutkada odatda 4 879 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 37 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent tate, andrew, udemy, linkedin, linux kabi asosiy mavzularga jamlangan.

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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Download and watch Udemy Courses. Buy ads: https://telega.io/c/zero_to_mastery

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 Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

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🔅 AI for Beginners: Inside Large Language Models ⏲ 3 hours 📁 26 Lessons 📔 Understand how LLMs actually work under the hood
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💡 Welcome to The Premium Vault – Your Gateway to Exclusive Content 🔐 What is The Premium Vault?
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🔅 AI Mastery: LLMs Explained with Math (Transformers, Attention Mechanisms & More) ⏲ 5 hours 📁 34 Lessons 📔 Unlock the sec
🔅 AI Mastery: LLMs Explained with Math (Transformers, Attention Mechanisms & More)5 hours 📁 34 Lessons
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📖 Learn to create Machine Learning Algorithms in Python, R and AWS from two Data Science experts. Code templates included.
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