← Standard syllabus

Get started Book tutoring

In this program

Classification and regression trees
Ensemble methods: bagging
Random forests
Boosting (AdaBoost, gradient boosting intro)
k-nearest neighbors and naive Bayes
Model evaluation: ROC and AUC
Confusion matrices

Supervised learning

Ensemble methods: bagging

Data mining · Standard syllabus

Topic

Ensemble methods: bagging

Practice by unit: Supervised learning

Undergraduate Data mining — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).

Get started Book tutoring All topics