Exam A solutions

Exam B solutions

Syllabus STA121

Script STA121

01 Slides Resampling

02 Slides PCA

03 Slides Clustering

04 Slides Classification

05 Slides Linear Model, cor p.8

06 Slides Mixed Models

07 Slides Non-parametric Regression

08 Slides Generalized linear model

09 Slides Survival Analysis

10 Slides Time Series Evaluation links

11 Slides Spatial Statistics

12 Slides Extreme Value Theory

13 Slides Neural Networks 

14 Slides Summary

01 Resampling Code

02 PCA Code 

03 Clustering Code

03 Clustering code, mbclust

04 Classification Code

05 Linear Model Code, cor. l24, l123

06 Linear Model quiz code

06 Mixed Models code

07 Non-parametric Regression Code

08 Generalized linear model code

09 Survival Analysis code

10 Time Series Code

11 Spatial Statistics Code

12 Extreme Value Theory Code

13 Neural Networks code

13 Neural networks code compiled 

Code for 2nd exercise (George)

Code for 3rd exercise (George) 

Code for 4th exercise (George)

Code for 5th exercise (George)

Code for 6th exercise (George)

Code for 7th exercise (George)

Code for 8th exercise (George)

Code for 9th exercise (George)

Code for 10th exercise (George)

Code for 12th exercise (George)

How to use R markdown Heng Zhang

r basic intro week1

STA121_Exercise_Week03_HengZhang

STA121_Exercise_Week04_05_HengZhang

STA121_Exercise_Week09_HengZhang 

STA121_Exercise_Week10_HengZhang

STA121_Exercise_Week11_HengZhang

STA121_Exercise_Week13_HengZhang

salary.txt

01 In Class Exercise

Syllabus