File Preprocess Functions

File preprocess functions refer to a set of operations or techniques applied to data files before they are used in a data analysis or machine learning pipeline. The primary goal of preprocessing is to transform raw data into a structured format, making it suitable for further analysis or model training.

Some examples of file preprocess functions: