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Firibgarlarga uchmang! Telemetrio bunday kanallarni topadi va belgilaydi πŸ‘‰ Belgini koβ€˜rmoqchi boβ€˜lsangiz, obuna boβ€˜ling

Coding Learning

Coding Learning

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πŸ“ˆ Telegram kanali Coding Learning analitikasi

Coding Learning (@codingdrive) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 14 101 obunachidan iborat bo'lib, TaΚΌlim toifasida 14 511-o'rinni va Hindiston mintaqasida 28 163-o'rinni egallagan.

πŸ“Š Auditoriya koβ€˜rsatkichlari va dinamika

Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβ€˜sib, 14 101 obunachiga ega boβ€˜ldi.

27 Oktabr, 2026 dagi oxirgi ma’lumotlarga koβ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 243 ga, soβ€˜nggi 24 soatda esa 7 ga oβ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oβ€˜rtacha 14.99% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 3.35% ini tashkil etuvchi reaksiyalarni toβ€˜playdi.
  • Post qamrovi: Har bir post oβ€˜rtacha 2 113 marta koβ€˜riladi; birinchi sutkada odatda 473 ta koβ€˜rish yigβ€˜iladi.
  • Reaksiyalar va oβ€˜zaro ta’sir: Auditoriya faol: har bir postga oβ€˜rtacha 6 ta reaksiya keladi.
  • Tematik yoβ€˜nalishlar: Kontent implementation, llm, dive, autogen, structure kabi asosiy mavzularga jamlangan.

πŸ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
β€œBackup”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 28 Oktabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni TaΚΌlim toifasidagi muhim ta’sir nuqtasiga aylantirishini koβ€˜rsatadi.

14 101
Obunachilar
+724 soatlar
+337 kun
+24330 kun
Postlar arxiv
08 - [Optional] Flask Crash Course

07 - Appendix - Python Crash Course

06 - Deploying in another open-course cloud

05 - Deploy Web App in Heroku Cloud

04 - Face Recognition Project (Integrating HTML Model to Flask App)

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 04

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 03

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 02

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 01

02 - Image Processing with OpenCV

01 - Introduction - Part 02

01 - Introduction - Part 01

🧠 Face Recognition with Machine Learning + Deploy Flask App 🌟 4.4 - 459 votes πŸ’° Original Price: $69.99 πŸ“– Create an Face R
🧠 Face Recognition with Machine Learning + Deploy Flask App 🌟 4.4 - 459 votes πŸ’° Original Price: $69.99
πŸ“– Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy
πŸ”Š Taught By: datascience Anywhere, G Sudheer πŸ“€ Download Full Course πŸ“€ Download All Courses

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Javascript is the most widely used scripting language used on server side and client side. While to start learning Javascript
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Javascript is the most widely used scripting language used on server side and client side. While to start learning Javascript , you need a proper path for better understanding of popular frameworks like Angular or Reactjs.. Here's a roadmap to learn Javascript..
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Repost from Coding Courses
5 Sites to Prepare for Tech Interviews: 1. Leetcode πŸ”— leetcode.com 2. Interviewing .io πŸ”— interviewing.io 3. Coding Interview University πŸ”— https://github.com/jwasham/coding-interview-university 4. JavaScript Algorithms πŸ”— https://github.com/trekhleb/javascript-algorithms 5. JavaScript Questions πŸ”— https://github.com/lydiahallie/javascript-questions

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