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  1. Kaggle is a platform for data science competitions, projects, and learning. You can download datasets, code, and notebooks from Kaggle, or upload your own.

    • Datasets

      Download Open Datasets on 1000s of Projects + Share Projects...

    • Code

      Code - Kaggle: Your Machine Learning and Data Science...

    • Learn

      Learn - Kaggle: Your Machine Learning and Data Science...

    • Sign In

      Kaggle is the world’s largest data science community with...

    • Competitions

      Kaggle is the world’s largest data science community with...

  2. Kaggle offers thousands of open datasets for various domains and tasks, such as computer vision, NLP, and data visualization. You can also create, share, and collaborate on your own data projects on Kaggle.

  3. www.kaggle.com › datasets,Kaggle

    Explore and download thousands of open datasets on Kaggle , the home of data science and machine learning.

  4. Mar 15, 2020 · Kaggle is a platform from which you can download a lot of different datasets, that can be used for machine learning. In this blog post I want to show how to download data from Kaggle on Google...

  5. Apr 30, 2021 · Downloading Kaggle Dataset in Jupyter Notebook. Now, let’s look at the new method to download Kaggle Dataset. Before starting, you need to have the opendatasets library installed in your system. If it’s not present in your system, use Python’s package manager pip and run:!pip install opendatasets. in a Jupyter Notebook cell.

  6. Dec 18, 2020 · One solution is to download the data directly from Kaggle into Colab — bypassing my local computer entirely. Since Colab clears all data from ‘/content’ after 12/24 hours, I will download the dataset into my Google Drive for storage (and access from anywhere).

  7. Jan 6, 2022 · In this blog post I want to give a brief overview of the official Kaggle API and its Python implementation. This API enables us to download any dataset from Kaggle using only Python. Once we have accomplished that we can then load the dataset with HF’s dataset library. The notebook for this tutorial can be found in this Github repo.