Common Data: Machine Learning Practice Collection Updated June 2023

Tushar2704 curated this collection in 2023 to aggregate standard data sources for machine learning and data science education. The repository provides a centralized location for files used in visualization, data engineering, and algorithm testing.

Use Cases

• Applying data visualization techniques to the tabular files to identify trends
• Utilizing the dataset-generation features to create synthetic data for testing
• Training classification models using the benchmark data for machine learning practice

Strengths

• Aggregates multiple data sources in one location
• Includes 8 domain tags such as data-engineering and artificial-intelligence
• Maintained as an open-source collection

Limitations

• Missing column-level documentation and schema definitions
• Unknown license status for the aggregated files
• No specific record counts or file sizes provided

Provenance

Source

GitHub repository by tushar2704

Collection Method

aggregation

Freshness

Last updated on June 30, 2023.