Where Does It Belong? Classification

Reading 
1 
Generating error/classification confusion matrices

Lesson 
4 
Principal Component Analysis

Lesson 
3 
Generating receiver operating characteristic charts

Lesson 
4 
Building, plotting, and evaluating with classification trees

Lesson 
4 
Using random forest models for classification

Lesson 
4 
Classifying using the support vector machine approach

Lesson 
4 
Classifying using the Naive Bayes approach

Lesson 
3 
Classifying using the KNN approach

Lesson 
4 
Using neural networks for classification

Lesson 
4 
Classifying using linear discriminant function analysis

Lesson 
4 
Classifying using logistic regression

Lesson 
3 
Text classification for sentiment analysis

Lesson 
3 