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Ko'proq ko'rsatish📈 Telegram kanali Coding Courses analitikasi
Coding Courses (@coding_learning1) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 18 328 obunachidan iborat bo'lib, Taʼlim toifasida 10 924-o'rinni va Hindiston mintaqasida 22 984-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 18 328 obunachiga ega bo‘ldi.
27 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 370 ga, so‘nggi 24 soatda esa 21 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 12.23% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 241 marta ko‘riladi; birinchi sutkada odatda 0 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 22 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent javascript, array, html, learning, recognition kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“🔴Declaimer🔴
We do not hold this content or stored in our drive, we just redirect telegram or website link where this content is already shared”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 28 Iyul, 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.
18 328
Obunachilar
+2124 soatlar
+1287 kunlar
+37030 kunlar
Postlar arxiv
18 328
Repost from Coding Learning
🔰 The Complete Financial Analyst Course 2026
🌟 4.6 - 103056 votes 💰 Original Price: $69.99
📖 Excel, Accounting, Financial Statement Analysis, Business Analysis, Financial Math, PowerPoint: Everything is Included!🔊 Taught By: 365 Careers
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*🚀 Complete Roadmap to learn AI Fundamentals*
AI isn't just about using basic tools. To build real-world AI applications, you need to understand the fundamentals first and then learn the right tools.
Here's a complete roadmap:
*🎯 Phase 1: AI Fundamentals*
✅ What is Artificial Intelligence?
✅ Types of AI ANI, AGI, ASI
✅ Machine Learning vs Deep Learning vs Generative AI
✅ Supervised, Unsupervised & Reinforcement Learning
✅ Neural Networks Basics
✅ Large Language Models LLMs
✅ Tokens & Context Windows
✅ Embeddings
✅ Vector Databases
✅ Prompt Engineering
✅ RAG Retrieval-Augmented Generation
✅ AI Agents
✅ Fine-Tuning
✅ AI Safety & Responsible AI
*🎯 Phase 2: Essential Programming Skills*
✅ Python
✅ SQL
✅ Git & GitHub
✅ REST APIs
✅ JSON
✅ FastAPI
*🎯 Phase 3: Core AI Libraries*
✅ NumPy
✅ Pandas
✅ Scikit-learn
✅ PyTorch
✅ Transformers
*🎯 Phase 4: Generative AI Tools*
✅ OpenAI API
✅ Hugging Face
✅ Ollama
✅ LangChain
✅ LangGraph
✅ LlamaIndex
✅ CrewAI
✅ AutoGen
*🎯 Phase 5: Vector Databases*
✅ ChromaDB
✅ Pinecone
✅ Weaviate
✅ FAISS
*🎯 Phase 6: AI App Development*
✅ Streamlit
✅ Gradio
✅ FastAPI
✅ Docker
✅ Redis
✅ PostgreSQL
*🎯 Phase 7: AI Automation Tools*
✅ n8n
✅ Flowise
✅ Dify
✅ Make
✅ Zapier
*🎯 Phase 8: Deployment & MLOps*
✅ Docker
✅ GitHub Actions
✅ MLflow
✅ Weights & Biases
✅ AWS / Azure / Google Cloud
*🎯 Phase 9: Build Real Projects*
✅ AI Chatbot
✅ PDF Chat with RAG
✅ AI Coding Assistant
✅ Customer Support Bot
✅ Resume Analyzer
✅ Research Assistant
✅ Multi-Agent AI System
✅ Enterprise Knowledge Assistant
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*11 things to NEVER share with ChatGPT:*
1. SSN, credit cards, banking info
2. Home address, phone numbers
3. Passwords, PINs, security codes
4. Medical records, prescriptions
5. Legal troubles, court cases
6. Private family/relationship issues
7. Work secrets, trade secrets
8. Client/employer confidential data
9. Illegal activity instructions
10. Others' personal information
11. Anything you wouldn't post publicly
📌 *Stay smart. Stay safe.*
💬 *Tap ♥️ if this helped you!*
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🔥 BIG ANNOUNCEMENT 🔥
Guys 🚀 Recording is in progress for a very elite & premium-level Java course 💎
This course is designed with top-quality support 🤝 and industry-focused content.
📚 What you’ll learn:
✅ Java Backend (starting from Spring Framework)
✅ Complete DevOps 🔧
✅ AI + LLM integration 🤖✨
🧠 Prerequisite:
👉 Just basic Java knowledge (don’t worry, you’ll be guided properly 😊)
💯 Best part?
🎁 This course is 100% FREE for you — no hidden charges, no compromise on quality 🔥
📌 Stay active in the group
📌 Recordings + updates coming soon
📌 Serious learners only 💪
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What is a CDN
Content Delivery Network is a group of geographically distributed servers that work together to provide fast delivery of Internet content.
Instead of every user downloading data from a single central server (which might be halfway across the world), a CDN allows them to download the content from a "local" server near them.
* Goal: Reduce latency (delay) and improve load speeds.
* Key Concept: It moves the content physically closer to the user.
The Flow: How it Works
1) User Request: You type a URL (e.g., e.com/image.jpg) into your browser
2) DNS Resolution: Instead of pointing directly to the main server (Origin), the DNS routes your request to the nearest CDN Edge Server based on your location.
3) Cache Check (Hit vs. Miss):
4) Cache Hit: If the Edge Server already has the image saved, it sends it to you immediately. (Fastest)
5) Cache Miss: If the Edge Server does not have the image, it requests it from the Origin Server, saves a copy for future users, and then sends it to you.
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DON'T USE CURSOR OR OTHER LLM MODELS.
DURING MAKING PROJECT OF OUR OWN OR LEARNING,
ELSE
U WILL NOT GAIN ANY KNOWLEDGE.
WASTE OF UR TIME
