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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Machine Learning with Python (@codeprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 67 820 obunachidan iborat bo'lib, Taʼlim toifasida 2 411-o'rinni va Hindiston mintaqasida 5 035-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 67 820 obunachiga ega bo‘ldi.

06 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 55 ga, so‘nggi 24 soatda esa -2 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 2.54% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.53% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 1 720 marta ko‘riladi; birinchi sutkada odatda 1 714 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.

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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 08 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.

67 820

Obunachilar

-224 soatlar

+327 kunlar

+5530 kunlar

1 720

Post ko'rishlar

~ 1 71424 soatlar

~ 2 28448 soatlar

2.54%

Muloqot nisbati

~ 3

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🏆 Python NumPy Tips 📢 Unlock the power of NumPy! Get essential Python tips for creating and manipulating arrays effectively for data analysis and scientific computing. ⚡ Tap to unlock the complete answer and gain instant insight. ━━━━━━━━━━━━━━━ By: @CodeProgrammer ✨

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🏆 100 NumPy Tips 📢 Boost your Python data science skills! Dive into 100 essential NumPy tips for efficient array manipulation and scientific computing. ⚡ Tap to unlock the complete answer and gain instant insight. ━━━━━━━━━━━━━━━ By: @CodeProgrammer ✨

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Python_tasks_solutions.pdf23.76 MB

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python-interview-questions.pdf1.20 MB

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