This project utilized XGBoost, a powerful and scalable machine learning algorithm, to build a binary classification model. The dataset required significant preprocessing steps, including handling missing data through Multiple Imputation by Chained Equations (MICE) and applying robust scaling to address variability and outliers in the features.

mi primera vez

Examine a dataset

Ejercisio numero 3 Diseño Experimental

This project analyzes and compares borrower behavior and characteristics between the years 2007 and 2019, focusing on key financial metrics such as credit scores, interest rates, debt to income ratios, and loan to value ratios.

interpolación geoestadística utilizando los métodos de kriging ordinario y regresión kriging,