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Kaggle

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

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Kapil K.
KK
Kapil K.
Graduate Data Engineer at CTM
09/12/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

Best to practice Machine learning - Kaggle

For me Kaggle is by far the best platform for machine learning. As it uses notbooks to run the code, execution of code becomes much easier as we can do cell execution. Also downloading any libraries is quite handy on Kaggle. Getting the data from different sources is also easy.
Ashish K.
AK
Ashish K.
Student at VISHWAKARMA GOVERNMENT ENGINEERING COLLEGE, CHANDKHEDA,GANDHINAGAR 017
05/15/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

Kaggle

Kaggle is a best platform where the data scientist or data analyst find the best datasets for the create machine learning models it provides various dataset which are image, text , audio all type.
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

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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