| 
  • If you are citizen of an European Union member nation, you may not use this service unless you are at least 16 years old.

View
 

Week 03

This version was saved 14 years ago View current version     Page history
Saved by hoffman.tricia@gmail.com
on October 7, 2010 at 6:03:51 pm
 

Lectures:

Regression(stats315a).pdf

PracticalRegression_R.pdf

 

Ridge Regression Section 3.4.1 on page 61 of the :

"The Elements of Statistical Learning - Data Mining, Inference, and Prediction"  by Trevor Hastie, Robert Tibshirani, and Jerome Friedman.      http://www-stat.stanford.edu/~tibs/ElemStatLearn

 

Start of Chapter 5 - nearest neighbor

chap5.ppt

 

Examples:

The code for lecture 5 is in sonar_regress_crossval.R

The Ridge Regression Example is RidgeRegSonarData.R

 

 

Data Files:

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

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

 

Homework:

 

 

Sonar Data from Above

Web Site for 1st problem Data Description  http://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality.names

        Red Wine Data winequality-red.txt 

 

For Homework Problem 2b you might look at the r Package Caret

Web Site Describing Caret   Reference Manual

 

For Homework Problem 4 check out the function lm.ridge

 

Comments (0)

You don't have permission to comment on this page.