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Machine Learning with Python

Machine Learning with Python

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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

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Machine Learning with Python (@codeprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 68 151 obunachidan iborat bo'lib, Taʼlim toifasida 2 379-o'rinni va Hindiston mintaqasida 4 752-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 68 151 obunachiga ega bo‘ldi.

01 Sentabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 84 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 4.17% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.54% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 845 marta ko‘riladi; birinchi sutkada odatda 1 052 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 5 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent insidead, learning, degree, evaluation, algorithm kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

Yuqori yangilanish chastotasi (oxirgi ma’lumot 02 Sentabr, 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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The Big Book of Large Language Models by Damien Benveniste ✅ Chapters: 1⃣ Introduction 🔢 Language Models Before Transformers
The Big Book of Large Language Models by Damien Benveniste ✅ Chapters: 1⃣ Introduction 🔢 Language Models Before Transformers 🔢 Attention Is All You Need: The Original Transformer Architecture 🔢 A More Modern Approach To The Transformer Architecture 🔢 Multi-modal Large Language Models 🔢 Transformers Beyond Language Models 🔢 Non-Transformer Language Models 🔢 How LLMs Generate Text 🔢 From Words To Tokens 1⃣0⃣ Training LLMs to Follow Instructions 1⃣1⃣ Scaling Model Training 1⃣🔢 Fine-Tuning LLMs 1⃣🔢 Deploying LLMs Read it: https://book.theaiedge.io/
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Applied Machine Learning in Python: a Hands-on Guide with Code 🧠 🚀 Exciting news! free, online e-book has been updated with
Applied Machine Learning in Python: a Hands-on Guide with Code 🧠 🚀 Exciting news! free, online e-book has been updated with fresh theory 📕, detailed illustrations 🎨, well-documented demos 📝, links to YouTube lectures 🎥, and interactive dashboards 📊! Each chapter is downloadable 📥, making it easy for you to dive in, learn, and complete your #DataScience projects efficiently! 🧑‍💻 Explore it now: https://geostatsguy.github.io/MachineLearningDemos_Book/intro.html #DeepLearning #Python #MachineLearning #AI #DataAnalytics #TechEducation #FreeLearning #Ebook #DataVisualization #Coding #STEM #TechCommunity #LearnToCode https://t.me/CodeProgrammer

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🚀 80 Python Interview Questions with Answers & Code! 🚀  🖥 Curated by Krish Naik, a renowned Indian data scientist and researcher, this ultimate collection of 80 Python interview questions is your go-to resource for acing programming and data science interviews! 💡  📄 Each question comes with detailed answers and ready-to-use code snippets, making it perfect for beginners and experienced developers alike. Whether you're preparing for a job interview or leveling up your Python skills, this guide has you covered! 👀  ✅ Why this resource?  - Covers frequently asked questions in Python interviews  - Includes practical coding examples for better understanding  - Ideal for data science, programming, and software development roles  🔥 Don’t miss out! Save this, share it, and start preparing today! 💼  #Python #DataScience #Programming #InterviewPrep #Coding #PythonInterview #TechInterview #DataScientist #PythonProgramming #LearnPython #CodeNewbie #CareerGrowth #TechJobs #PythonCode #KrishNaik #PythonTips  --- 📌 Perfect for:  - Aspiring data scientists  - Python developers  - Coding enthusiasts  - Job seekers in tech  Start your journey to success now! ⭐️

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⚠️ O'Reilly Media, one of the most reputable publishers in the fields of programming, data mining, and AI, has made 10 data s
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Is this the disruption we've been waiting for? China's open-source model, DeepSeek, is outperforming ChatGPT & Claude in benc
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