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Kaggle

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

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Verified User in Retail
UR
Verified User in Retail
08/02/2021
Validated Reviewer
Review source: G2 invite
Incentivized Review

I have utilised this kaggle to improve my datascience skill set

it has lot of data sets to practice and the code and ranking part is the best
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
08/02/2021
Validated Reviewer
Review source: G2 invite
Incentivized Review

I have been using Kaggle data set for to testing different model and improve my general AI knowledge

They do provide ranking and so you know how your model performing in general.
Piyush S.
PS
Piyush S.
Software Engineer & CAD
08/02/2021
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Kaggle - Access to every tool you need for Machine Learning and Data Science

The best thing about Kaggle is that before diving directly into the competitions and other stuffs, one could first learn from the Courses and Certifications provided by Kaggle. It gives extensive education to the learner about how the things actually work. Other than this, it gives remote access to hardware and softwares that one could only dream of. The community, is far better and accurate than that of Stack Overflow as only relevant questions are addressed. It is a complete package from Beginner to Advance track in Machine Learning and Data Science.

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HQ Location:
San Francisco, California

Social

@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