eee/ie595 –Risk & Decision Analytics

Spring 2018

If you need to stop by, feel free to! Map located below of my location in Grissom. It's about 50/50 whether or not I'm actually at my desk (email first to guarentee a time) but I am there frequently.

building map 

course notes

The following notes are lab exercises which should go well with the EEE 595 curricula. They are a set of notes I have compiled which outline how to begin using R for data analysis, discussing some of the specifics of installing R, manipulating and loading basic data, and begining to use/evaluate models. The notes are are my own, so please contact prior to distribution. However a few of the questions are borrorwed in part from the ISLR book and shoudl be attirubted appropriately.

A few of these lessons require specific data, however the general concepts are applicable to all types of data.

lab notes

  1. Lab 0 notes: Introduction to using/installing R

  2. Lab 1 notes: Basic EDA in R

  3. Lab 2 notes: Plotting basic analyses

  4. Lab 3 notes: Basic modeling (lm, ridge, lasso)

  5. Lab 4 notes: Understanding public data, basic ggploting

  6. Lab 5 notes: Rmarkdown, literate programming, and LaTEX

  7. Lab 6 notes: GLM and backfitting

  8. Lab 7 notes: CART, Cross-Validation, RandomForest

  9. Lab 8 notes: MARS, EARTH, BART