Synthetic data generation
Synthetic data is data that has been created artificially through computer simulation or that algorithms can generate to take the place of real-world data. The data can be used as an alternative or supplement to real-world data when real-world data is not readily available. It can also be used as a Machine Learning performance booster.
The ydata-sdk package is a Python package developed by YData’s team that allows users to easily benefit from Generative AI and generate synthetic data. The main goal of the package is to serve as a way for data scientists to get familiar with synthetic data and its applications in real-world domains, as well as the potential of Generative AI.
The ydata-sdk package provides different methods for generating synthetic tabular, time-series data as well as databases.
The package also aims to facilitate the exploration and understanding of synthetic data generation methods!