Programming, Technology, Data Science, Machine Learning, Artificial Intelligence.
diversity of a dataset by creating new synthetic data samples. In the context of financial data, augmentation can be particularly useful due to the limited availability of real-world financial data. By generating synthetic financial data that captures the statistical properties of real data, we can