Webinar: Improve Your CLASSIFICATION with CART and RandomForests
LIVE OR ON-DEMAND
· LIVE: Thursday, March 29th, 10AM – 11AM PDT, 1PM EDT
· ON-DEMAND: If the time is inconvenient, please register and we
will send you a recording
· Cost: Complimentary
· Real-world dataset, step-by-step instructions, hands-on option
Registration: http://hubs.ly/H06G0Zm0
Alternative Link:
http://info.salford-systems.com/improve-your-classification-cart-randomforests
ABSTRACT:
In this webinar we'll introduce you to two tree-based machine learning
algorithms, CART decision trees and RandomForests. Both of these methods
can be used for either regression or classification (i.e. Y =
“Application Denied” or “Application Accepted”) and we will focus on
classification in this presentation. 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
background.
· Attend if you want to understand why data science techniques
are so important for analysts.
https://app.getsignals.com/img.gif?ukey=agxzfnNpZ25hbHNjcnhyGAsSC1VzZXJQcm9maWxlGICAgMCxqZwIDA&key=37a0757357184ee3bd426ff89c8e3d7c
Registration: http://hubs.ly/H06G0Zm0
Alternative Link:
http://info.salford-systems.com/improve-your-classification-cart-andomforests
