James E. Blum, Professor of Statistics and Data Science

James E. Blum, Professor of Statistics and Data Science

Slide Decks and Sample Code

Getting Started with DS2

Slide Deck

Code, Part I (3/23)

Code, Part II (3/24) (Class Recording)

Code, Part III (3/25) (Class Recording)

All data files (zip)

Web Scraping

Web Scraping Code (3/26-Updated 3/30) (Class Recording)

  Class Recording 3-30

Using the JSON Engine for the XFL Scrape (3/31) (Class Recording)

Scrape of Wilmington Monthly Weather Data (4/1) (Class Recording)

Scrape of North Carolina Monthly Weather Data (4/2) (Class Recording)

Class Recording from 4-6

Web Scraping Assignment

Modify the web scraping programs to get the data and produce the following:

  For the XFL scrape: bar chars 1, 2, and 3

  For the Climate scrape, this graph

  Code due Monday April 13

More Classification

Updates to Diabetes Data and Classification with HPFOREST

A basic SVM applied to the Cars Data (Class Recording)

SVM applied to the Diabetes Readmission Data (Class Recording)

Simulation of non-linear separation in two groups

SVM applied to Simulated Data (Class Recording)

Generalized Additive Models

Short Demonstration of Generalized Additive Models

Repeated Measures Models

Repeated Measures Models in PROC MIXED (Class Recording)

Repeated Measures Models in PROC GENMOD (Class Recording)

More Repeated Measures Models in PROC MIXED (Class Recording)

A Bit with PROC GLIMMIX (Class Recording)

Final Assignment

For your project submitted to SAS Global Forum, create a slideshow presentation with voice-over which;

lays out the questions you wish to answer,

describes the data sources you used,

discusses the modeling/classification techniques used,

summarizes the important results,

does this all in a maximum of 30 minutes,

and is submitted by May 10th at 5pm

The results may be posted in a variety of places, so make sure you do good work