Classification algorithms – random forests

Data Science 201_Day 4

 

Review slides 1 – 122 for the following topics:

Boosting – the theoretical framework
The Adaboost algorithm
Boosted random forests
Variable correlation, selection, and importance

Complete the following exercises from the Day 4 exercises folder:

Exercises 1-4 – random forests

Complete Concept review 5: classification algorithms – random forests in the Assessment tab to complete this lesson

[LF_dataworld]

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