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Data Mining Master Project

Project Summary

The objective of the project was to segment the clients of an insurance company.

  • Performed Coherence Check, spotted outliers using DBSCAN and also Manual Filtering. Missing values were dealt carefully, imputing using KNN and Logistic Regression, mainly.

  • In order to segment clients, K-Protopytes (on categorical variables) and Hierarchical Clustering uppon K-Medoids (on numeric variables) were performed. Marketing campaings were also designed accordingly to the characteristics of each cluster.

Grade: 19/20