Media Summary: Generative classifiers: Linear discriminant kNN, Classification trees, forests and Neural networks. Prediction using regression trees and random forests.
Generative classifiers: Linear discriminant kNN, Classification trees, forests and Neural networks. Prediction using regression trees and random forests.
Prediction with the linear model.
Pivoting, joining, tidying,
Generative classifiers: Linear discriminant
Regression classifiers.
Prediction with neural networks.
Screencast of Jonathan M working through
kNN, Classification trees, forests and Neural networks.
Screencast of Jonathan M working through
Missingness.
Prediction using regression trees and random forests.
Data
161 (number) ... 161 (one hundred [and] sixty-one) is the natural number following 160 and preceding 162.
The meaning of the number 161: How is 161 spell, written in words, interesting facts, mathematics, computer science,...
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The factors of 161 are 1, 7, 23, 161 and the factors of 100 are 1, 2, 4, 5, 10, 20, 25, 50, 100. 161 and 100 have...
161 is an odd number. It is a composite number. This means it has factors other than 1 and itself. The prime...
