In this webinar we'll introduce you to two tree-based machine learning algorithms, CART decision trees and RandomForests. We will discuss
the advantages of tree-based techniques including their ability to automatically handle variable selection, variable interactions, nonlinear relationships, outliers, and missing values. We'll explore the CART algorithm, bootstrap sampling, and the Random Forest
algorithm (all with animations) and compare their predictive performance using a real world dataset.
Who should attend:
·Attend if you want to implement data science techniques even without a data science, programming, or even an advanced statistical
you want to understand why data science techniques are so important for analysts.
To manage your subscription to SPSSX-L, send a message to
[hidden email] (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
For a list of commands to manage subscriptions, send the command