Exploring Data Augmentation Strategies for Data Science Projects

This chapter emphasizes the significance of initiating a data science project to build practical knowledge, with a focus on enriching data sets for increased observations in training. It showcases techniques such as image augmentation via rotations and translations, and text data augmentation through multilingual translations to diversify and expand data sets for training models.