Data Analytics
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'rsatishπ Telegram kanali Data Analytics analitikasi
Data Analytics (@dataanalyticsx) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 30 852 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 4 306-o'rinni va Rossiya mintaqasida 20 799-o'rinni egallagan.
π Auditoriya koβrsatkichlari va dinamika
Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβsib, 30 852 obunachiga ega boβldi.
26 Oktabr, 2026 dagi oxirgi maβlumotlarga koβra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 553 ga, soβnggi 24 soatda esa 11 ga oβzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya oβrtacha 5.22% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.55% ini tashkil etuvchi reaksiyalarni toβplaydi.
- Post qamrovi: Har bir post oβrtacha 1 610 marta koβriladi; birinchi sutkada odatda 479 ta koβrish yigβiladi.
- Reaksiyalar va oβzaro taβsir: Auditoriya faol: har bir postga oβrtacha 2 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 27 Oktabr, 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.
ollama run llama3.2
This command:
β’ Downloads the model
β’ Starts it locally
β’ Lets you chat instantly π¬
If you see the prompt, your local LLM is running.
βοΈ Step 3: Do local inference (API style)
Ollama runs a local server on your machine.
curl http://127.0.0.1:11434/api/generate \
-H "Content-Type: application/json" \
-d '{
"model": "llama3.2",
"prompt": "Explain overfitting like I am 12",
"stream": false
}'
If you get a JSON response with text β β
it works.
π‘ Why this is powerful
β’ Works offline
β’ Private by default
β’ Perfect for learning, testing, and small apps
This is the easiest way to start with LLMs locally.0351785337C8A1DF7B54
β οΈ Watch 2 short ads to unlock your free access.
π By: https://t.me/Udemy26
#FreeCourse #Udemy #OnlineLearning #Education4D8D68A3B11C69AB1DB4
β οΈ Watch 2 short ads to unlock your free access.
π By: https://t.me/Udemy26
#Programming #Coding #Development #Tech #Python #DataScienceCODEPROGRAMMER2 β 2 months free + $10 credit. Bring someone in β another month free.
https://getamplify.team/