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 67 810 obunachidan iborat bo'lib, Taʼlim toifasida 2 427-o'rinni va Hindiston mintaqasida 5 028-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 67 810 obunachiga ega bo‘ldi.
13 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 60 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 4.31% 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 2 926 marta ko‘riladi; birinchi sutkada odatda 1 148 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 14 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.
67 810
Obunachilar
-324 soatlar
-77 kunlar
+6030 kunlar
Postlar arxiv
🧰 A comprehensive toolbox of data scientists
✅ Access to 500+ TB of data science content
👨🏻💻 The Data Scientist Toolkit is the result of my five-year effort in the field of data science, which is an extremely comprehensive and extensive resource for those who want to become a professional data scientist. So don't miss this source
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┌ 🐱 GitHub Repository
└ ⏩ The Data Scientist's Toolbox
🌐
TON is Hosting Three-Day Offline Marathons for Developers in 13 Cities Worldwide
TON (The Open Network), a blockchain integrated into Telegram, is currently holding the largest hackathon in its history, “The Open League Hackathon,” with a prize pool of $2,000,000!
To support the hackathon, TON Society is organizing offline events around the world, giving Web3 enthusiasts the opportunity to spend three days immersed in development and networking.
📍 The marathons will take place in Prague, Berlin, Kyiv, Warsaw, Tbilisi, Belgrade, Seoul, Taipei (Taiwan), Gurugram (India), Hong Kong, Minsk, Moscow, and Saint Petersburg. The first events start on May 24th, so hurry up and register!
🔥 Why you should participate:
— 3 days of networking, lectures, competitions, and working on your own projects with continuous support from TON Foundation representatives and teams from the TON ecosystem. You can also join online.
— $5,000 prize for the top three projects at each offline event + plenty of merchandise and other bonuses.
Don’t miss the chance to present your mini-application to 900 million active Telegram users with TON.
Check the marathon schedule and details here - sign up and don't miss out on this great opportunity!
For guaranteed application review and other inquiries, contact the community manager @kate_shuffle
Collect the largest number of clicks. Telegram will mine these clicks and convert them into money within 3 months.
Mining quickly!
https://t.me/tapswap_bot?start=r_418788114
It is an official Telegram bot and can be verified by the blue verification mark
Collect the largest number of clicks. Telegram will mine these clicks and convert them into money within 3 months.
Mining quickly!
https://t.me/tapswap_mirror_2_bot?start=r_418788114
It is an official Telegram bot and can be verified by the blue verification mark
https://t.me/botifyai_bot?start=referral_418788114
Only first 10 person
+5
⚡️ Neural Networks: Zero to Hero - a block of 8 lectures and practical exercises from Andrey Karpati
This is a course on neural networks from the very basics, perhaps the best on the entire Internet.
The course is a series of YouTube videos in which Karpathy shows how to design and train neural networks.
All these results are written in Jupyter-Notebooks, you can download them and experiment
▶️ Neural Networks: Zero to Hero
✅️ http://t.me/codeprogrammer ✅️
❗️ WITH ME YOU WILL START EARNING MONEY
We will leave a link with free entry to a channel that draws money every day. Each subscriber gets between $100 and $5,000.
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Repost from Python Courses & Resources
⭐🔥💥☄️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 👇
https://t.me/addlist/8_rRW2scgfRhOTc0
+4
⚡️ Big ML cheat sheet
Here you will find the basic theory of Machine Learning and examples of the implementation of specific ML algorithms - in general, this is just the thing to brush up on your knowledge before the interview.
📎 Crib
✅️ http://t.me/codeprogrammer ✅️
Can someone give me Telegram Premium, I need it to continue my work
@hussein_sheikho
🎉 The first-ever Synnax Lab Datathon is now live!
Don't miss your chance to dive into a rich financial dataset of over 16k companies, compiled using quarterly and annual reports.
Compete for a share of the $8750 total prize pool & earn Synnax Points! 🌟
End: June 19, 2024
📝 More Info: Docs
🤖 Join via Telegram for easy access.: Synnax Datathon
🔆 The paid channel will contain all the books in the three channels + important books available only in the paid channel + data science courses, programming languages, and others.
All files in the paid channel will be Telegram files without any links.
pay here (Auto Accept):
https://boosty.to/datascienceteam/posts/f2ad1200-d178-40f2-b16c-dc4621b57f38
