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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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Ashish A.
AA
Ashish A.
11/16/2021
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Kaggle Really helps new Data Scientist for a great Kick Start

I am a Data Enthusiast and was really struggling to have a start and I found Kaggle. The best part of Kaggle is that it provides a range of Datasets, Online Editor, and computing resources and they are free and enough for new users.
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
10/19/2021
Validated Reviewer
Review source: G2 invite
Incentivized Review

Good learning experience

Get hands-on with various types of data, check peer code for guidelines, new techniques, ideas
Kushagra G.
KG
Kushagra G.
CM Intern @LikeMinds • Corporate Communications (Vice Chairperson's office) @JECRC • Leading @Global AI Hub @Pie & AI: Jaipur
10/05/2021
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

The Best Data Science Community and Platform

The thing that I love about Kaggle is that it has a wide variety of never-ending datasets and a global community of data scientists to learn from.

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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