Feature Flow

It provides feature engineering to the dataset by containing various functions within the feature flow operation. Inside the feature flow, there is feature preprocess functions. Feature preprocess functions are a set of operations applied specifically to a dataset's features (or variables) to prepare them for machine learning or data analysis tasks. These functions aim to improve the features' quality and usefulness, leading to better model performance and more accurate results. Some feature preprocess functions include: