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AI and Machine Learning

AI and Machine Learning

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Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

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📈 Telegram kanali AI and Machine Learning analitikasi

AI and Machine Learning (@machine_learning_courses) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 94 077 obunachidan iborat bo'lib, Taʼlim toifasida 1 547-o'rinni va Hindiston mintaqasida 3 005-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 94 077 obunachiga ega bo‘ldi.

26 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 965 ga, so‘nggi 24 soatda esa 37 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.79% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.34% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 6 384 marta ko‘riladi; birinchi sutkada odatda 2 203 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 9 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent learning, llm, linkedin, linux, udemy kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

Yuqori yangilanish chastotasi (oxirgi ma’lumot 27 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.

94 077
Obunachilar
+3724 soatlar
+2267 kunlar
+96530 kunlar
Postlar arxiv
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 💰 Original Price: $69.99 📖 Create an Face R
🧠 Face Recognition with Machine Learning + Deploy Flask App 🌟 4.4 - 459 votes 💰 Original Price: $69.99
📖 Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy
🔊 Taught By: datascience Anywhere, G Sudheer 📤 Download Full Course 📤 Download All Courses

💰 AI Terms You Must Know
💰 AI Terms You Must Know

⚠️ Exciting News! 🎉 Thanks to your votes and support, we’re thrilled to announce the launch of our new channel: The Coding S
⚠️ Exciting News! 🎉 Thanks to your votes and support, we’re thrilled to announce the launch of our new channel: The Coding Space!
This channel is dedicated to helping you master programming and coding, featuring tutorials on Python, Java, C, C++, C#, and more. Whether you’re a beginner or looking to level up your skills, The Coding Space is here to guide you.
🌟 Stay tuned for high-quality content, tips, and resources designed to make you a better programmer! 📱 Join us now and start coding smarter! Thank you for being an amazing community! ❤️

AI is learning very fast.

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📦 Exercise Files

📱Machine Learning and Artificial intelligence 📱Machine Learning and AI Foundations: Advanced Decision Trees with KNIME

🔅 Machine Learning and AI Foundations: Advanced Decision Trees with KNIME 🌐 Author: Keith McCormick 🔰 Level: Advanced ⏰ Du
🔅 Machine Learning and AI Foundations: Advanced Decision Trees with KNIME 🌐 Author: Keith McCormick 🔰 Level: AdvancedDuration: 1h 33m
🌀 Learn to go beyond the basic decision tree algorithms in KNIME by accessing WEKA, R, and Python-based decision tree and rule induction algorithms from within the KNIME platform.
📗 Topics: Decision Trees, Knime, Machine Learning 📤 Join Machine Learning and Artificial intelligence for more courses