Week02


Lectures:

lecture3.ppt

lecture4(4.4-4.6).ppt

lecture4(mease5).ppt   lecture4(mease5).pdf

 

PredictionErrorvsModelComplexity  This chart is from the ESL text book

 

Examples:

The code for lecture 3 is in wk02example1.r

The code for lecture4(mease5) is in wd02example2.r

The code for Cross Validation CrossValidationExample.R

The code for Linear Regression Example  SimpleRegressionExample.R

      Notes for Linear Regression  notes

 

Working with  rpart

 

Data Files:

Here are the Data File to upload before you run the R programs:

  rpart_text_example.txt   sonar_test.csv   sonar_train.csv  test_data.csv   test_data.txt

 

Homework:

Homework02.doc

 

Web Site for 5th problem Data Description  http://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality.names

        Red Wine Data winequality-red.txt