This project focused on analysing and predicting housing loan eligibility for applicants.

PARCELAS DIVIDIDAS , ANIDADOS, CUADRADOS LATINOS Y CUADRADOS DE YOUDEN

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The project focuses on developing predictive models for estimating the Week of Supply (WOS) based on Average Sales data. A variety of statistical techniques were explored, including linear regression, transformations of variables, and machine learning models such as Random Forest and Classification and Regression Trees (CART). These methods aim to enhance prediction accuracy and provide a robust solution for managing product distribution based on historical sales data.