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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 67 818 obunachidan iborat bo'lib, Taʼlim toifasida 2 429-o'rinni va Hindiston mintaqasida 5 036-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 67 818 obunachiga ega bo‘ldi.

14 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 66 ga, so‘nggi 24 soatda esa 5 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 4.52% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.70% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 3 064 marta ko‘riladi; birinchi sutkada odatda 1 155 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 5 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 15 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.

67 818
Obunachilar
+524 soatlar
Ma'lumot yo'q7 kunlar
+6630 kunlar
Postlar arxiv
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@codeprogrammer Python Cheat Sheet for Beginners.pdf7.06 MB

Python Cheat Sheet for Beginners Python is the most popular programming language in data science. Use this cheat sheet to jum
Python Cheat Sheet for Beginners Python is the most popular programming language in data science. Use this cheat sheet to jumpstart your Python learning journey.

⭕️ The best free data science learning courses 👨🏻‍💻 I want today I shared with you five of the best free data science lear
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@codeprogrammer Deep Learning with PyTorch Cheat Sheet.pdf5.76 MB

Deep Learning with PyTorch Cheat Sheet Learn everything you need to know about PyTorch in this convenient cheat sheet PyTorch
Deep Learning with PyTorch Cheat Sheet Learn everything you need to know about PyTorch in this convenient cheat sheet PyTorch is an open-source machine learning library primarily developed by Facebook's AI Research Lab (FAIR). It is widely used for various machine learning and deep learning tasks, including neural network development, natural language processing (NLP), computer vision, and reinforcement learning. In this cheat sheet, learn all the fundamentals of working with PyTorch in one convenient location! Download 👇👇👇

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