Data-Mining group project for Human Resources Analytics (Fall 2017)

Main Tasks

• Data Understanding (semantics, descriptive statistics, quality assessment, variable transformation, pairwise correlation and elimination of redundant variables)
• Clustering Analysis (K-means, density-based, hierarchical)
• Association Rule Mining
• Classification via Decision Trees (model interpretation and validation with different gain formulae) and via K-Nearest Neighbors