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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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📈 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
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CS229 Lectures Notes (2023) By: Andrew Ng & Tengyu Ma Is it useful to you ❓ 📂 Tags: #ML #Ai #RAG #LLM http://t.me/codeprogrammer ⭐️

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Understanding RAG Part I: Why It’s Needed Details: https://machinelearningmastery.com/understanding-rag-part-i-why-its-needed
Understanding RAG Part I: Why It’s Needed Details: https://machinelearningmastery.com/understanding-rag-part-i-why-its-needed/ Is it useful to you ❓ 📂 Tags: #ML #Ai #RAG #LLM http://t.me/codeprogrammer ⭐️

Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform. Students can now access free Coursera scholarships through MAJOR. Don't miss the opportunity: Click here.

The only bot on Telegram that distributes prizes directly and without an air drop. The bot is based on breaking the egg. Every time you break the egg, you will get 20 TON, equivalent to $150 - It takes a maximum of 9 days to break the egg. I personally use it and have broken the egg more than 3 times in 15 days. Break the egg here. https://t.me/Yaytsogram_bot?start=invite5981767

The only bot on Telegram that distributes prizes directly and without an air drop. The bot is based on breaking the egg. Every time you break the egg, you will get 20 TON, equivalent to $150 - It takes a maximum of 9 days to break the egg. I personally use it and have broken the egg more than 3 times in 15 days. Break the egg here. https://t.me/Yaytsogram_bot?start=invite5981767

Repost from Auto Udemy
The only bot on Telegram that distributes prizes directly and without an air drop. The bot is based on breaking the egg. Every time you break the egg, you will get 20 TON, equivalent to $150 - It takes a maximum of 9 days to break the egg. I personally use it and have broken the egg more than 3 times in 15 days. Break the egg here. https://t.me/Yaytsogram_bot?start=invite5981767

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explaining the concept of RAG (Retrieval-Augmented Generation) in a simple and easy-to-understand way. Is it useful to you ❓ 📂 Tags: #ML #Ai #RAG #LLM http://t.me/codeprogrammer ⭐️

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25 Most Important Mathematical Definitions in Data Science More details: https://blog.dailydoseofds.com/p/25-most-important-m
25 Most Important Mathematical Definitions in Data Science More details: https://blog.dailydoseofds.com/p/25-most-important-mathematical-definitions Is it useful to you ❓ 📂 Tags: #ML #Ai #DataScience http://t.me/codeprogrammer ⭐️

Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform. Students can now access free Coursera scholarships through MAJOR. Don't miss the opportunity: Click here.

We will be giving away free Coursera scholarships starting November of this year. For those who want to register, you must re
We will be giving away free Coursera scholarships starting November of this year. For those who want to register, you must register using this bot. Acceptance messages will be sent via Telegram (I will contact you) Register here : Automatic registration

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