4 datasets found
  1. YouTube Likes Prediction AV HackLive

    • kaggle.com
    zip
    Updated Oct 2, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Vishal Gupta (2020). YouTube Likes Prediction AV HackLive [Dataset]. https://www.kaggle.com/jinxzed/youtube-likes-prediction-av-hacklive
    Explore at:
    zip(21795242 bytes)Available download formats
    Dataset updated
    Oct 2, 2020
    Authors
    Vishal Gupta
    License

    http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html

    Description

    Context

    As YouTube becomes one of the most popular video-sharing platforms, YouTuber is developed as a new type of career in recent decades. YouTubers earn money through advertising revenue from YouTube videos, sponsorships from companies, merchandise sales, and donations from their fans. In order to maintain a stable income, the popularity of videos become the top priority for YouTubers. Meanwhile, some of our friends are YouTubers or channel owners in other video-sharing platforms. This raises our interest in predicting the performance of the video. If creators can have a preliminary prediction and understanding on their videos’ performance, they may adjust their video to gain the most attention from the public.

    You have been provided details on videos along with some features as well. Can you accurately predict the number of likes for each video using the set of input variables?

    Content

    Train Set

    video_id -> Identifier for each video

    title -> Name of the Video on Youtube

    channel_title -> Name of the Channel on Youtube

    category_id -> Category of the Video (anonymous)

    publish_date -> The date video was published

    tags -> Different tags for the video

    views -> Number of views received by the Video

    dislikes -> Number of dislikes on the Video

    comment_count -> Number on comments on the Video

    description -> Textual description of the Video

    country_code -> Country from which the Video was published

    likes -> Number of Likes on the video

    Acknowledgements

    Thank You Analytics Vidhya for providing this dataset.

  2. YouTube users worldwide 2020-2029

    • statista.com
    Updated Mar 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). YouTube users worldwide 2020-2029 [Dataset]. https://www.statista.com/forecasts/1144088/youtube-users-in-the-world
    Explore at:
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The global number of Youtube users in was forecast to continuously increase between 2024 and 2029 by in total 232.5 million users (+24.91 percent). After the ninth consecutive increasing year, the Youtube user base is estimated to reach 1.2 billion users and therefore a new peak in 2029. Notably, the number of Youtube users of was continuously increasing over the past years.User figures, shown here regarding the platform youtube, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Youtube users in countries like Africa and South America.

  3. YouTube users in India 2020-2029

    • statista.com
    Updated Mar 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). YouTube users in India 2020-2029 [Dataset]. https://www.statista.com/forecasts/1146150/youtube-users-in-india
    Explore at:
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The number of Youtube users in India was forecast to continuously increase between 2024 and 2029 by in total 222.2 million users (+34.88 percent). After the ninth consecutive increasing year, the Youtube user base is estimated to reach 859.26 million users and therefore a new peak in 2029. Notably, the number of Youtube users of was continuously increasing over the past years.User figures, shown here regarding the platform youtube, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Youtube users in countries like Sri Lanka and Nepal.

  4. Youtube users in Vietnam 2017-2025

    • statista.com
    Updated Mar 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Youtube users in Vietnam 2017-2025 [Dataset]. https://www.statista.com/forecasts/1146013/youtube-users-in-vietnam
    Explore at:
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017 - 2019
    Area covered
    Vietnam
    Description

    In 2021, YouTube's user base in Vietnam amounts to approximately 66.63 million users. The number of YouTube users in Vietnam is projected to reach 75.44 million users by 2025. User figures have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Vishal Gupta (2020). YouTube Likes Prediction AV HackLive [Dataset]. https://www.kaggle.com/jinxzed/youtube-likes-prediction-av-hacklive
Organization logo

YouTube Likes Prediction AV HackLive

Predict YouTube Likes

Explore at:
zip(21795242 bytes)Available download formats
Dataset updated
Oct 2, 2020
Authors
Vishal Gupta
License

http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html

Description

Context

As YouTube becomes one of the most popular video-sharing platforms, YouTuber is developed as a new type of career in recent decades. YouTubers earn money through advertising revenue from YouTube videos, sponsorships from companies, merchandise sales, and donations from their fans. In order to maintain a stable income, the popularity of videos become the top priority for YouTubers. Meanwhile, some of our friends are YouTubers or channel owners in other video-sharing platforms. This raises our interest in predicting the performance of the video. If creators can have a preliminary prediction and understanding on their videos’ performance, they may adjust their video to gain the most attention from the public.

You have been provided details on videos along with some features as well. Can you accurately predict the number of likes for each video using the set of input variables?

Content

Train Set

video_id -> Identifier for each video

title -> Name of the Video on Youtube

channel_title -> Name of the Channel on Youtube

category_id -> Category of the Video (anonymous)

publish_date -> The date video was published

tags -> Different tags for the video

views -> Number of views received by the Video

dislikes -> Number of dislikes on the Video

comment_count -> Number on comments on the Video

description -> Textual description of the Video

country_code -> Country from which the Video was published

likes -> Number of Likes on the video

Acknowledgements

Thank You Analytics Vidhya for providing this dataset.

Search
Clear search
Close search
Google apps
Main menu