Data Mining and Predictive Modeling

Learn how to build a wide range of statistical models and algorithms to explore data, find important features, describe relationships, and use resulting model to predict outcomes. Use tools designed to compare performance of competing models in order to select the one with the best predictive performance. Learn how to subset data into a training, validation, and test set to more accurately evaluate a model's predictive performance and avoid overfitting. Learn techniques to analyze and extract meaning from unstructured text data and find association among items.