1. Kaggle Datasets:
- Kaggle is a popular platform for data science competitions, and it hosts a wide range of datasets. Visit Kaggle Datasets at kaggle.com/datasets to explore and download datasets for your mini challenge.
2. UCI Machine Learning Repository:
- The UCI Machine Learning Repository (archive.ics.uci.edu/ml/index.php) offers a collection of datasets for machine learning research. You can browse datasets based on various categories.
3. Google Dataset Search:
- Google Dataset Search (datasetsearch.research.google.com) allows you to discover datasets from various sources. You can search for specific topics and find datasets suitable for your challenge.
4. Data.gov:
- Data.gov (data.gov) provides access to a wide array of datasets provided by the U.S. government. It covers diverse topics and can be a valuable resource.
5. AWS Public Datasets:
- Amazon Web Services (AWS) offers a collection of public datasets that you can access for free. Check AWS Public Datasets at registry.opendata.aws for available datasets.
When choosing a dataset for your mini challenge, consider the following:
- Relevance: Ensure the dataset aligns with the theme or focus of your challenge.
- Size: Choose a dataset that is manageable for participants within the scope of the mini challenge.
- Documentation: Look for datasets that come with clear documentation describing the variables, structure, and context.
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Derek