Day 1 of 2

Importing and Organizing Data

Objective: Bring data into MATLAB and organize it for analysis, including normalizing data and removing observations with missing values.

? Data types

? Tables

? Categorical data

? Data preparation

Finding Natural Patterns in Data

Objective: Use unsupervised learning techniques to group observations based on a set of explanatory variables and discover natural patterns in a data set.

? Unsupervised learning

? Clustering methods

? Cluster evaluation and interpretation

Building Classification Models

Objective: Use supervised learning techniques to perform predictive modeling for classification problems. Evaluate the accuracy of a predictive model.

? Supervised learning

? Training and validation

? Classification methods

Day 2 of 2

Improving Predictive Models

Objective: Reduce the dimensionality of a data set. Improve and simplify machine learning models.

? Cross validation

? Hyperparameter optimization

? Feature transformation