DataSpoof

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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

India26 595 Education12 546...

📈 Analytical overview of Telegram channel DataSpoof

Channel DataSpoof (@dataspoof) in the English language segment is an active participant. Currently, the community unites 16 139 subscribers, ranking 12 546 in the Education category and 26 595 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 16 139 subscribers.

According to the latest data from 21 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -143 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 7.89%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
Thematic interests: Content is focused on key topics such as api, llm, pipeline, +9183182, engineer.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Learn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data”

Thanks to the high frequency of updates (latest data received on 22 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

16 139

Subscribers

-224 hours

-327 days

-14330 days

1 273

Post views

No data24 hours

No data48 hours

7.89%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

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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/)