Getting Started with Predictive Modeling: Simple Models and Basic Evaluation
Claudia Perlich
This class presents the basic steps of building a predictive model, and encourages you to get your feet wet on a small problem using Excel and Weka to build a model.

You will learn about selection training examples, constructing an appropriate feature vector, some basic feature selection, building models using three to four different machine learning techniques (logistic regression, decision trees and rule induction), and evaluating the resulting models using cross validation and a separate test set.

Level : Intermediate