Choosing the right model type for your data is a key part of successful predictive modeling. This session reviews the variety of modeling techniques available for predicting a categorical target variable. Use model comparison techniques to find the ideal type among logistic regression, decision tree, forest, and boosted models.
What you will learn: Identify application of regression models, Build regressions through R-Based modeling tools, Perform model selection.
You can download the data and the workflow below. Please, make sure you unzip the entire folder and extract all the files.
