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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 67 813 obunachidan iborat bo'lib, Taʼlim toifasida 2 417-o'rinni va Hindiston mintaqasida 5 033-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 67 813 obunachiga ega bo‘ldi.

11 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 56 ga, so‘nggi 24 soatda esa 0 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 3.96% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.43% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 683 marta ko‘riladi; birinchi sutkada odatda 1 650 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 12 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.

67 813
Obunachilar
Ma'lumot yo'q24 soatlar
-127 kunlar
+5630 kunlar
Postlar arxiv
Python password generator 🖥 #python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #
Python password generator 🖥 #python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience https://t.me/CodeProgrammer 🐍

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Important [ Python Built-in Methods ] {CheatSheet} #MachineLearning #NeuralNetwork #DeepLearning #ArtificialIntelligence #AI
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🖥 Large Language Model Course The popular free LLM course has just been updated. This is a step-by-step guide with useful re
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🖥 Large Language Model Course The popular free LLM course has just been updated. This is a step-by-step guide with useful resources and notebooks for both beginners and those who already have an ml-base. The course is divided into 3 parts: 1️⃣ LLM Fundamentals : The block provides fundamental knowledge of mathematics, Python and neural networks. 2️⃣ LLM Scientist : This block focuses on the internal structure of LLMs and their creation using the latest technologies and frameworks. 3️⃣ The LLM Engineer : Here you will learn how to write applications in a hands-on way and how to deploy them. ⭐️ 41.4k stars on Github 📌 https://github.com/mlabonne/llm-course #llm #course #opensource #ml https://t.me/CodeProgrammer 👑

To generate stunning maps from OpenStreetMap data in #Python, use Prettymaps. It enables map creation with minimal code and o
To generate stunning maps from OpenStreetMap data in #Python, use Prettymaps. It enables map creation with minimal code and offers versatile customization options. 🚀 Link to Prettymaps: bit.ly/3Ps02Qj 🔖 Dive deeper into the post: bit.ly/3PxxJjm https://t.me/CodeProgrammer ☄️

Machine Learning concepts - Intermediate Level. Convolutional Neural Network (CNN) Layers: Convolution vs Pooling vs Fully Co
Machine Learning concepts - Intermediate Level. Convolutional Neural Network (CNN) Layers: Convolution vs Pooling vs Fully Connected #MachineLearning #NeuralNetwork #DeepLearning #ArtificialIntelligence #AI #Algorithms https://t.me/CodeProgrammer 🐍

Machine Learning Algorithm basics! Support Vector Machines (SVM) vs k-Nearest Neighbors (k-NN) #MachineLearning #algorithms #
Machine Learning Algorithm basics! Support Vector Machines (SVM) vs k-Nearest Neighbors (k-NN) #MachineLearning #algorithms #ML #DataScience #ArtificialIntelligence #AI https://t.me/CodeProgrammer 🐍

Voice Recorder in #Python https://t.me/CodeProgrammer 🐍
Voice Recorder in #Python https://t.me/CodeProgrammer 🐍

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Check if Instagram or Facebook is down using Python
Check if Instagram or Facebook is down using Python

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