© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
N. Gürsakal et al.Synthetic Data for Deep Learning https://doi.org/10.1007/978-1-4842-8587-9_5

5. Synthetic Data Generation with Python

Necmi Gürsakal1  , Sadullah Çelik2 and Esma Birişçi2
(1)
Bursa, Turkey
(2)
Aydın, Turkey
 

In this chapter, we will explore how to generate synthetic data for regression, classification, and clustering problems using Python. First, we will discuss how to generate synthetic data from a known distribution. Next, we will apply Gaussian noise to a regression model. Then, we will discuss how to generate synthetic data for classification and clustering problems using the Friedman functions and symbolic regression. Finally, we will generate ...

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