Data Analytics
Kanalga Telegramβda oβtish
Dive into the world of Data Analytics β uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho
Ko'proq ko'rsatish
π Telegram kanali Data Analytics analitikasi
Data Analytics (@dataanalyticsx) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 30 851 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 4 297-o'rinni va Rossiya mintaqasida 20 736-o'rinni egallagan.
π Auditoriya koβrsatkichlari va dinamika
Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβsib, 30 851 obunachiga ega boβldi.
02 Noyabr, 2026 dagi oxirgi maβlumotlarga koβra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 371 ga, soβnggi 24 soatda esa 0 ga oβzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya oβrtacha 4.79% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.14% ini tashkil etuvchi reaksiyalarni toβplaydi.
- Post qamrovi: Har bir post oβrtacha 1 477 marta koβriladi; birinchi sutkada odatda 352 ta koβrish yigβiladi.
- Reaksiyalar va oβzaro taβsir: Auditoriya faol: har bir postga oβrtacha 3 ta reaksiya keladi.
- Tematik yoβnalishlar: Kontent sellerflash, buybox, buyer, chaos, effortless kabi asosiy mavzularga jamlangan.
π Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taβriflaydi:
βDive into the world of Data Analytics β uncover insights, explore trends, and master data-driven decision making.
Admin: @HusseinSheikho || @Hussein_Sheikhoβ
Yuqori yangilanish chastotasi (oxirgi maβlumot 03 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβlib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taβsir nuqtasiga aylantirishini koβrsatadi.
30 851
Obunachilar
Ma'lumot yo'q24 soatlar
-57 kun
+37130 kun
Postlar arxiv
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Repost from Machine Learning with Python
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Repost from Machine Learning with Python
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WebScraping with Gen AI
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Get acquainted with the Jina Reader API, a powerful tool for obtaining LLM-friendly input from URLs or web searches.
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Dive into ScrapeGraphAI, a groundbreaking Python library that combines LLMs and direct graph logic for creating robust scraping pipelines.
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π Date: 22 June, Saturday
β° Time: 11:00 AM IST
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Β‘Hola! π
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30 855
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Repost from N/a
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