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It was founded in 2010 by Anthony Goldbloom and Ben Hamner, and later acquired by Google in 2017. Kaggle has
grown into one of the largest data science communities in the world.
You can visit Kaggle at: www.kaggle.com
Some key features of Kaggle are as follows:

u Kaggle provides millions of public datasets in formats like CSV, JSON, image, and text. Users can easily download,
explore, and use them for analysis or projects.

u Kaggle offers a free, cloud-based coding space called Kaggle Notebooks. You can write and run Python or R code
online with free GPU and TPU support.

u Kaggle hosts real-world machine learning competitions. Participants build models, submit results, and compete for
prizes on leaderboards.
u Kaggle Learn provides short, hands-on courses on topics like Python, Data Visualization, and Machine Learning.
u Kaggle’s discussion forums allow users to share ideas, ask questions, and collaborate with data enthusiasts worldwide.

Exploring Datasets on Kaggle
To explore datasets on Kaggle, perform the following steps:
1. Open the Kaggle website by visiting www.kaggle.com/datasets.

2. Type the name of the dataset in the search bar to find one of your choices. A list of related datasets will
be displayed.

3. Click on the dataset you want to explore.

4. Check the details of the dataset, such as the number of rows, columns, and file type (usually CSV).
5. Click the Download button to download the dataset.

(Note: You’ll need to sign in or create a free Kaggle account before downloading.)

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