Data Mining

Catalog description

Data mining principles and applications. Predictive modeling techniques for large data sets including classification and regression trees, logistic regression, neural networks, random forests, and boosted trees. Handle missing values and outliers. Compare models and deploy best model to predict new data. Hands-on use of data mining software.