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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

Ko'proq ko'rsatish

📈 Telegram kanali Machine Learning with Python analitikasi

Machine Learning with Python (@codeprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 67 815 obunachidan iborat bo'lib, Taʼlim toifasida 2 419-o'rinni va Hindiston mintaqasida 5 033-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 67 815 obunachiga ega bo‘ldi.

12 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 57 ga, so‘nggi 24 soatda esa 3 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 4.13% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.69% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 799 marta ko‘riladi; birinchi sutkada odatda 1 149 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 6 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 13 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.

67 815
Obunachilar
+324 soatlar
-187 kunlar
+5730 kunlar
Postlar arxiv
K-Means clustering, visually explained 📂 Tags: #python #ML http://t.me/codeprogrammer 🔒

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Repost from Machine Learning
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Repost from Data Science Books
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📂 Tags: #transformers #python #nlp http://t.me/codeprogrammer 🔒 The Transformers architecture clearly explained 🫴
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Screenshot-To-Code 🔨 This is a simple application that converts a screenshot into HTML/Tailwind CSS code . ✔️ The app uses GPT-4 Vision to generate code and DALL-E 3 to create similar images . ✅ The app has a React/Vite frontend and a FastAPI backend , and requires an OpenAI API key with access to the GPT-4 Vision API . 🔗 links: https://github.com/abi/screenshot-to-code 📂 Tags: #html #openai #chatgpt http://t.me/codeprogrammer 🔒