Description: Provides insights into the most commonly used supervised machine learning techniques, e.g., linear regression, logistic regression, random forest techniques, neural networks. Applies these techniques to model data for predicting relevant events. Addresses caveats of the techniques and how to evaluate model validity and outcomes.