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Machine Learning & AI Foundations-Decision Trees
Machine Learning & AI Foundations-Decision Trees
Course
Timeline:
00
Introduction
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
...
01
Decision Trees in IBM SPSS Modeler
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
...
02
Understanding CHAID
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
...
03
Understanding C&RT
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
...
04
Improving Your Model
Stopping rules in CHAID and C&RT
...
Exhaustive CHAID
...
The Auto Classifier tuning trick
...
05
Conclusion
Machine Learning and AI Foundations: Decision Trees Next step
...
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$ 21.00
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$ 17.00
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Chapters
6
Category
Database Management
Author
Laurie Barth
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