Machine Learning and AI Foundations: Decision Trees Welcome

...

Machine Learning and AI Foundations: Decision Trees What should you know

...

Machine Learning and AI Foundations: Decision Trees Using the exercise file

...

Decision Tree Options in SPSS Modeler

...

Building a quick CHAID model

...

Adding a second model with C&RT

...

Analysis nodes

...

Lift and gains chart

...

Bonferonni adjustment

...

What is an algorithm?

...

Chi-squared overview

...

Buliding a tree interactively

...

What is level of measurement?

...

How CHAID handles Nominal Variables

...

How CHAID handles ordinal variables

...

How CHAID handles continuous variables

...

A quick look at the complete CHAID tree

...

What is the Gini coefficient?

...

How does C&RT weigh purity and balance?

...

How C&RT handles nominal, ordinal, and continuous variables

...

How C&RT handles missing data

...

Understanding pruning

...

A quick look at the complete C&RT tree

...

Stopping rules in CHAID and C&RT

...

Exhaustive CHAID

...

The Auto Classifier tuning trick

...

Machine Learning and AI Foundations: Decision Trees Next step

...

Course Reviews:

Average Rating 0
0 Ratings
Details
5 Stars 0
4 Stars 0
3 Stars 0
2 Stars 0
1 Stars 0

No reviews yet.