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Popular AI and data science website, kaggle.com, competitions, datasets, notebooks, code, courses, documentation, benchmarks, community, and WHOIS domain data

Website

Kaggle

Kaggle is a popular AI and data science website for competitions, datasets, notebooks, code sharing, learning, benchmarks, and community practice.

Official site
kaggle.com is the main public website for Kaggle.
Product focus
Kaggle focuses on AI competitions, hackathons, benchmarks, open datasets, notebooks, code sharing, documentation, community discussion, and practical data learning.
Parent organization
The WHOIS record for kaggle.com lists Google LLC as the registrant organization.
The Kaggle icon.View icon on Kaggle

What Kaggle is

Kaggle is an AI and data science website at kaggle.com for competitions, datasets, notebooks, code, courses, benchmarks, documentation, and community learning. It gives people a place to practice machine learning and data analysis with real problems and shared resources.

Competitions and benchmarks

Kaggle is widely known for competitions where participants build models, submit predictions or solutions, and compare results on leaderboards. The format turns difficult AI and analytics problems into public challenges with rules, data, evaluation metrics, prizes, and discussion.

Datasets

The datasets area lets users browse, publish, download, and analyze data for research, model training, exploration, and portfolio projects. Open datasets make Kaggle useful even when someone is not competing, because the same platform can support practice, teaching, and reproducible examples.

Notebooks and code

Kaggle Notebooks let users run AI and machine learning code online, often with access to public datasets and cloud compute options. This lowers setup friction for learners and analysts who want to experiment with Python, notebooks, models, visualizations, and shared workflows.

Learning and documentation

Kaggle Learn offers short practical courses on topics such as Python, pandas, data visualization, machine learning, and related skills. Documentation explains how to use competitions, datasets, notebooks, benchmarks, and other parts of the platform.

Community and portfolios

Kaggle also works as a professional community. Users can publish notebooks, discuss approaches, join competitions, earn rankings, show datasets, and build visible evidence of their skills. For many learners, that public trail becomes part of a data science or machine learning portfolio.

Who uses Kaggle

Kaggle is used by data scientists, machine learning engineers, AI researchers, students, analysts, educators, hiring teams, competition sponsors, and hobbyists. It is especially useful for people who want hands-on practice with real datasets, measurable model performance, and examples from other practitioners.

Strengths and cautions

Kaggle's strength is giving AI and data work a practical shared arena. The caution is that leaderboard performance is not the same as production readiness. Real systems also need clean data pipelines, privacy review, monitoring, maintenance, security, cost controls, and domain judgment.

Why it matters

Kaggle matters because it helped make data science more open, competitive, and learnable. It gives beginners a path into real projects, gives experts a place to test ideas, and gives organizations a way to evaluate solutions beyond closed internal teams.

WHOIS domain data

Data pulled: May 20, 2026View current WHOIS record

Domain
kaggle.com
Registrar
MarkMonitor Inc.
WHOIS server
whois.markmonitor.com
Referral URL
http://www.markmonitor.com
Created
August 28, 2009
Updated
July 27, 2025
Expires
August 28, 2026
Nameservers
ns-cloud-c1.googledomains.com (216.239.32.108); ns-cloud-c2.googledomains.com (216.239.34.108); ns-cloud-c3.googledomains.com (216.239.36.108); ns-cloud-c4.googledomains.com (216.239.38.108)
Domain status
clientDeleteProhibited; clientTransferProhibited; clientUpdateProhibited
Registrant organization
Google LLC
Registrant country
US