Prototipo para el procesamiento de conjuntos de datos usando Python

Abstract

Abstract: This proposal, titled Prototype for Dataset Processing Using Python , focuses on developing a prototype that enables the verification of dataset to detect potential anomalies that could impact the performance of Machine Learning algorithms. The prototype seeks to identify common problems in the data, such as: missing values, non-categorical variables, and data imbalances. The prototype will allow the visualization of these cases and will offer alternatives to solve dataset anomalies; in this way, after the analysis process, a corrected dataset is generated, which can be used in Machine Learning experiments with greater reliability.