Predictive Modeling and Machine Learning with MATLAB

In this module you'll apply the skills gained from the first two courses in the specialization on a new dataset. You'll be introduced to the Supervised Machine Learning Workflow and learn key terms. You'll end the module by creating and evaluating regression machine learning models.

In this module you'll learn the basics of classification models. You'll train several types of classification models and evaluation the results.

In this module you'll apply the complete supervised machine learning workflow. You'll use validation data inform model creation. You'll apply different feature selection techniques to reduce model complexity. You'll create ensemble models and optimize hyperparameters.

This module covers advanced topics including handling class imbalance, using cost matrices, and integrating models into applications.