Show HN: Augmenting tabular data with SDV to improve ML results (github.com)

For those wanting to learn more about it, SDV can be found here: https://github.com/sdv-dev/SDV

SDV (The Synthetic Data Vault) is an ecosystem of Open Source Python libraries and tools for Synthetic Data Generation that works with single-table, multi-table and time-series data. One of the use cases of Synthetic Data is data augmentation for machine learning models, as shown in the example posted, but it also enables a multitude of other use cases such as privacy preserving methods for sharing data or the generation of data for software testing. More resources, tutorials and documentation can be also found here: https://sdv.dev