This site uses different types of cookies, including analytics and functional cookies (its own and from other sites). To change your cookie settings or find out more, click here. If you continue browsing our website, you accept these cookies.
Grouping often serves as a means to an end. However, the process should not go unconsidered in your next predictive analysis. Join this training to find out why grouping important and how it can improve your analysis!
What you will learn: Assess data values in order to create clusters of similar values, apply clustering algorithms to a dataset, simplify the variables used for modeling based on Principal Components.
You can download the data and the workflow below. Please, make sure you unzip the entire folder and extract all the files.