SEGMENTATION ANALYSIS USING UNSUPERVISED MACHINE LEARNING TECHNIQUES AN INTERPRETATION OF MACHINE LEARNING MODELS
Collaboration project between IBiDat and Santander Analytics to develop solutions that allow the interpretability of statistical and machine learning models. As such, explanation methodologies with high fidelity have been formulated to understand the relationships existing between variables in different clustered data. Developed solutions rely on visualization techniques allowing any user, regardless of their background, to quickly understand the rationale behind the model decisions.
Contract holder: Santander España
Performance Term: six months