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kaggle.net

Why is the trust score of kaggle.net very high?

https://kaggle.net redirected to https//www.kaggle.com during the time we crawled it. Kaggle is a subsidiary of Google LLC, and it is a platform for predictive modeling and analytics competitions. It allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. Kaggle also offers a variety of datasets, notebooks, and pre-trained models for machine learning and data analysis. It is widely used by data scientists, machine learning practitioners, and researchers to collaborate and compete in various data science projects and challenges. Kaggle’s competitions cover a wide range of topics, including image recognition, natural language processing, and financial forecasting. The platform provides a valuable resource for learning and practicing data science skills, as well as for showcasing expertise in the field. Kaggle’s community and resources make it a popular choice for data science enthusiasts and professionals alike.”



the reasons behind this review :
Kaggle is a subsidiary of Google LLC, and it is a platform for predictive modeling and analytics competitions. It allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. Kaggle also offers a variety of datasets, notebooks, and pre-trained models for machine learning and data analysis. It is widely used by data scientists, machine learning practitioners, and researchers to collaborate and compete in various data science projects and challenges. Kaggle's competitions cover a wide range of topics, including image recognition, natural language processing, and financial forecasting. The platform provides a valuable resource for learning and practicing data science skills, as well as for showcasing expertise in the field. Kaggle's community and resources make it a popular choice for data science enthusiasts and professionals alike.
Positive PointsNegative Points

  Website content is accessible

  No spelling or grammatical errors in site content

  High review rate by AI

  Domain Age is quite old

  Archive Age is quite old

  Domain ranks within the top 1M on the Tranco list

  High gap ratio (11.00) for older domain

  Whois data is hidden

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