preproPYY
preproPYY is a software library designed for the preprocessing of data, specifically tailored for machine learning applications. It aims to simplify and automate common data cleaning and transformation steps that are often required before feeding data into machine learning models. The library provides a suite of functions for tasks such as handling missing values, feature scaling, encoding categorical variables, and dimensionality reduction.
The core philosophy behind preproPYY is to offer a user-friendly and efficient way to prepare datasets. It
preproPYY supports various strategies for dealing with missing data, including imputation methods like mean, median, or