University Program
Our University Program provides the SPM®, CART®, MARS®, TreeNet® , and Random Forests® modeling engines at significantly-reduced licensing fees to the educational community.
Introduction to Tree-Based Machine Learning
Section 1: Regression (quantitative target)
Learn the basics of Minitab's data mining software.
Recommendation: Before watching this video, watch "Introduction to CART® decision Trees for Regression"
Recommendation: Before watching this video, watch "Introduction to CART® decision Trees for Regression
Introduction to Tree-Based Machine Learning
Section 2: Classification (categorical target)
Recommendation: Before watching this video, watch “Introduction to CART Decision Trees for Classification
Recommendation: Before watching this video, watch “Introduction to CART Decision Trees for Classification”
Additional Introductory Videos
Minitab products help businesses increase efficiency and
improve quality through smart data analysis.
CART®
SPM’s CART® modeling engine is the ultimate classification tree that has revolutionized the field of advanced analytics, and inaugurated the current era of data science.
Random Forests®
Random Forests® is a modeling engine that leverages the power of multiple alternative analyses, randomization strategies, and ensemble learning.
MARS®
The MARS® modeling engine is ideal for users who prefer results in a form similar to traditional regression while capturing essential nonlinearities and interactions.
TreeNet®
TreeNet® Gradient Boosting is SPM’s most flexible and powerful data mining tool, capable of consistently generating extremely accurate models.
Pricing
Contact us for pricing information.
University Program
Our University Program provides the SPM®, CART®, MARS®, TreeNet® , and Random Forests® modeling engines at significantly-reduced licensing fees to the educational community.
Automation
70+ pre-packaged scenarios, basically experiments, inspired by how leading model analysts structure their work.