Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Machine Learning with Python
Kanalga Telegram’da o‘tish
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 67 819 obunachidan iborat bo'lib, Taʼlim toifasida 2 404-o'rinni va Hindiston mintaqasida 5 049-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 67 819 obunachiga ega bo‘ldi.
05 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 77 ga, so‘nggi 24 soatda esa 9 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 2.60% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.50% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 1 767 marta ko‘riladi; birinchi sutkada odatda 1 695 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 06 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.
67 819
Obunachilar
+924 soatlar
+587 kunlar
+7730 kunlar
Postlar arxiv
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Repost from первое впечатление
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Repost from Machine Learning
Effective Pandas 2: Opinionated Patterns for Data Manipulation
This book is now available at a discounted price through our Patreon grant:
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Limited to 15 copies
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🐱 5 of the Best GitHub Repos
🔃 for Data Scientists
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🌐 #Data_Science #DataScience
AI Developers — finally something serious.
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مبادرة جميلة يرجى الانضمام اليها - للسوريين (مبادرة هامة)
Repost from Python Courses & Resources
9 key concepts of artificial intelligence, explained in 7 minutes
- Tokenization
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👉 @Python53
Repost from Python Courses & Resources
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
AI Developers — finally something serious.
A German company 🇩🇪 (Brainlancer GmbH) is launching a curated B2B platform on April 1st, 2026.
Not a freelance marketplace.
Not an agency network.
A verified AI builder network.
Only a few spots are still open.
If you can actually ship outcomes like:
• RAG / Agents in production
• Automations + API integrations
• FastAPI tools, internal apps, backend systems
→ apply now (free + anonymous).
http://assesment.brainlancer.com/?src=telegram
Step 1: 5 min form
Step 2: 15–20 min AI interview
Step 3: short call → early access
👉 Brainlancer.com (Landingpage)
👉 https://www.linkedin.com/in/soner-catakli/ (CEO)
KMeans clustering animation in the style of 3blue1brown
👉 @CODEPROGRAMMER
To: ██████ █████
From: Jeffrey Epstein <jeevacation@gmail.com>
25 May, 3:04 a.m.
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NumPy Cheat Sheet: Data Analysis in Python
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Learn more:
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As promised, i will do another challenge for those who missed the previous one!
Last one we completed in 6 days, let’s do this one even quicker!
Join my free group Before closing 👇
https://t.me/+DAKLP7eUy9Y3ZjY0
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