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Kaggle

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34 reviews
  • 1 profiles
  • 2 categories
Average star rating
4.7
Serving customers since
2010
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Kaggle Reviews

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Verified User in Computer Software
UC
Verified User in Computer Software
04/01/2023
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Best Platform for Data science

Kaggle is a great platform to showcase one's data science skills It has a vast pool of datasets It also gives opportunities to view other data scientist's notebooks and connect with them
Aïcha B.
AB
Aïcha B.
03/31/2023
Validated Reviewer
Review source: Organic

Very useful if you're looking for complete datasets!

Wide range of complete datasets. Very practical and fast to find what you are looking for.
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
06/14/2022
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

I use it almost daily

It serves as a coding platform, has unlimited datasets that are highly diverse and almost cover all topics existing, it hosts multiple competitions that not only helps to solve pressing problems through AI through various user contributions but also provides hands on experience to AI and ML engineers worldwide with different experience levels. It also has a huge community of professionals, engineers and enthusiasts that always seem to have the answers to my questions with great support levels.

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HQ Location:
San Francisco, California

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@kaggle

What is Kaggle?

Kaggle, accessible at [kaggle.com](https://kaggle.com), is a popular platform for data science and machine learning enthusiasts and professionals. It provides a collaborative environment where individuals and teams can access a vast repository of datasets, participate in competitive machine learning challenges, and contribute to a broad spectrum of data science projects. Kaggle competitions often involve solving real-world problems by applying advanced analytical techniques, and they frequently offer monetary rewards for the top solutions.The platform also serves as a learning hub where users can explore and publish datasets, experiment with different modeling techniques, and gain insights from the community through shared kernels (scripts and notebooks). Kaggle's community is diverse, ranging from beginners in data science to seasoned experts, making it an invaluable resource for networking, collaboration, and continuous learning in the field of data analytics and machine learning.

Details

Year Founded
2010
Website
kaggle.com