University of Technology, Arts and Design

Predictive models for granting bank loans

  • DESCRIPTION: Prediction of the acceptance or rejection of a personal credit offered by a bank to a client to: Obtain a trained model that, through a Gradient Boosting algorithm, is capable of classifying new observations with an accuracy greater than 85%; Establish guidelines for the simplification, reduction and preparation of data that allow optimizing the computational cost of the machine learning model; Or to obtain a model for its execution in distributed through the Apache Spark platform.
  • CREATED: Miguel Angel Mayoral   
  • DEGREE: B.S. Double Degree in Computational Mathematics and Computer Science