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This project focuses on analyzing real estate data using R programming. It includes data exploration, filtering, grouping, visualization, and machine learning techniques such as K-Means clustering and KNN classification. The goal is to extract meaningful insights and build predictive models for better decision-making.

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Modelo de regresión logística para analizar y predecir la rotación Base analizada: dataset rotacion del paquete MODELOS

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