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Learn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data

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Hindiston26 595 Taʼlim12 546...

📈 Telegram kanali DataSpoof analitikasi

DataSpoof (@dataspoof) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 16 139 obunachidan iborat bo'lib, Taʼlim toifasida 12 546-o'rinni va Hindiston mintaqasida 26 595-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 16 139 obunachiga ega bo‘ldi.

21 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -143 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 7.89% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 0 marta ko‘riladi; birinchi sutkada odatda 0 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent api, llm, pipeline, +9183182, engineer kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Learn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 22 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.

16 139

Obunachilar

-224 soatlar

-327 kunlar

-14330 kunlar

1 273

Post ko'rishlar

Ma'lumot yo'q24 soatlar

Ma'lumot yo'q48 soatlar

7.89%

Muloqot nisbati

Ma'lumot yo'q

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Postlar arxiv

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AudioPaLM, a large language model for speech understanding and generation. It can generate any types of language https://google-research.github.io/seanet/audiopalm/examples/

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30 deep learning projects-2.pdf0.51 KB

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✅ Become a Full Stack Developer for FREE: HTML → http://html.spec.whatwg.org/multipage/ CSS3 → http://web.dev/learn/css/ Javascript → http://LearnJavaScript.online React → http://reactjs.org Python → http://python.org Java → http://java67.com Ruby → http://gorails.com SQL → http://SQLbolt.com MongoDB → http://learn.mongodb.com AWS → http://aws.amazon.com/training Azure → http://learn.microsoft.com/en-us/training Git & GitHub → http://LearnGitBranching.js.org Google Cloud → http://cloud.google.com/edu Figma → http://coursera.org/learn/high-fid… AdobeXD → http://youtu.be/WEljsc2jorI

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Data Engineering Project workflow

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For such Interesting and programming related content. Do like and subscribe to our YouTube channel https://openinapp.co/0a35y

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Hello Everyone, We hope this email finds you well. Thank you for showing interest in our data science training program. We are excited to inform you that the registration for the course is now open, and we have provided the link below for you to enroll: Course Link: https://dataspoof6499.graphy.com/courses/64893d06e4b08d17f46de99a By clicking on the above link, you will be directed to a webpage that contains detailed information about the course, including the curriculum, duration, and other essential details. We encourage you to review the course content and make an informed decision. Classes will commence on Monday, 26th June, and we encourage you to seize this opportunity and be part of an enriching learning journey. As a participant in our data science training program, you will have the opportunity to gain expertise in the following areas: 1. Python 2. Probability & Statistics 3. Machine Learning & Deep Learning 4. Natural Language Processing 5. Big Data & Apache Spark 6. Tableau & PowerBI 7. Cloud Platform 8. MLops & Airflow It covers more than 65+ real time projects The course is designed to span a duration of 6 to 8 months, ensuring a comprehensive learning experience that equips you with practical skills for real-world applications.

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Hello Everyone, Course Link: https://dataspoof6499.graphy.com/courses/64893d06e4b08d17f46de99a By clicking on the above link, you will be directed to a webpage that contains detailed information about the course, including the curriculum, duration, and other essential details. We encourage you to review the course content and make an informed decision. Classes will commence on Monday, 26th June, and we encourage you to seize this opportunity and be part of an enriching learning journey. As a participant in our data science training program, you will have the opportunity to gain expertise in the following areas: 1. Python 2. Probability & Statistics 3. Machine Learning & Deep Learning 4. Natural Language Processing 5. Big Data & Apache Spark 6. Tableau & PowerBI 7. Cloud Platform 8. MLops & Airflow It covers more than 65+ real time projects The course is designed to span a duration of 6 to 8 months, ensuring a comprehensive learning experience that equips you with practical skills for real-world applications. Regarding the fees structure, the total cost for the training program is set at 30,000 INR (400 usd Approximate). We understand the financial commitments involved, and to facilitate smoother payment, we offer an EMI (Equated Monthly Installment) option. This allows you to spread the payment across multiple months, making it more manageable for you. Detailed information on the payment process will be available on the course enrollment page.

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How does a model work on a stakeholder point of view

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Chatgpt for Medical domain Follow us On Instagram for such AI types reel and data science post www.instagram.com/dataspoof

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Here are some incredible platforms where you can download datasets for your project: Our World in Data https://ourworldindata.org/ World Health Organization (https://www.who.int/data/gho Statcounter (https://gs.statcounter.com/ Food and Agriculture Organization of the UN (FAO) (https://www.fao.org/home/en World Bank (https://data.worldbank.org/)