Data science/ML/AI

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Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

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Tarmoq:Programming, data science, ML - free courses by Big Data Specialist Hindiston31 635 Texnologiyalar & Aralashmalar9 377...

📈 Telegram kanali Data science/ML/AI analitikasi

Data science/ML/AI (@datascience_bds) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 13 674 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 9 377-o'rinni va Hindiston mintaqasida 31 635-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 13 674 obunachiga ega bo‘ldi.

09 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 155 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 8.03% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.25% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 1 098 marta ko‘riladi; birinchi sutkada odatda 308 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 panda, learning, row, api, ethic kabi asosiy mavzularga jamlangan.

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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 10 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

13 674

Obunachilar

+524 soatlar

+197 kunlar

+15530 kunlar

1 098

Post ko'rishlar

~ 30824 soatlar

~ 45248 soatlar

8.03%

Muloqot nisbati

~ 1

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Python for Data Science with Assignments A Comprehensive and Practical Hands-On Guide to Learning Python for Beginners, Aspiring Developers, Self-Learners, etc. Rating ⭐️: 4.7 out 5 Students 👨‍🎓 : 18046 Duration ⏰ : 9.5 hours on-demand video Created by 👨‍🏫: Meritshot Academy 🔗 Course Link ⚠️ Its free for first 1000 enrollments only! #python #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @bigdataspecialist for more👈

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Accelerate Data Science Workflows with Zero Code Changes by nvidia Across industries, modern data science requires large amounts of data to be processed quickly and efficiently. These workloads need to be accelerated to ensure prompt results and increase overall productivity. NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. In this workshop, you’ll learn to use RAPIDS to speed up your CPU-based data science workflows. By participating in this course, you will: Understand the benefits of a unified workflow across CPUs and GPUs for data science tasks Learn how to GPU-accelerate various data processing and machine learning workflows with zero code changes Experience the significant reduction in processing time when workflows are GPU-accelerated Prerequisites: Basic understanding of data processing and knowledge of a standard data science workflow on tabular data Experience using common Python libraries for data analytics Tools, libraries, frameworks used: NVIDIA RAPIDS (cuDF, cuML, cuGraph), pandas, scikit-learn, and NetworkX 🆓 Free Online Course ⏰ Duration : More than 1 hour 🏃‍♂️ Self paced ✅ Certification available Course Link #datascience #nvidia ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @bigdataspecialist for more👈

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