Bill Qualls - My Predictive Analytics Home Page


Bill Qualls - My Predictive Analytics Home Page This is the e-portfolio I created while pursuing my MS in Predictive Analytics at DePaul University. It contains artifacts from my coursework. I'm glad I did this: it was a nice way to document the journey. Enjoy the ride.... My resume and courses I have taught.
IS549 - Data Warehousing (Dr. Lu Zhang, Fall 2010) An Investigation into the Efficiency of the Star Schema
IS567 - Knowledge Discovery Technologies (Dr. Daniela Stan Raicu, Winter 2011) Normalization Techniques Linear Regression Information Gain and Entropy Tests of Hypothesis about the Accuracy of Decision Trees Final project
ECT587 - Mobile Commerce Technology (Prof. Gene Backlin, Spring 2011) iPhone Programming Project Planogrammming proof-of-concept here and here
CSC578 - Neural Networks and Machine Learning (Dr. Noriko Tomuro, Fall 2011) Neural Network Implementation Executable Java jar file Documentation Data set: XOR Data set: Iris Excel implementation of Naive Bayes Naive Bayes Implementation Executable Java jar file Documentation Data set: Tomuro training testing (not classified) testing (classified) Data set: Meisner training testing Data set: My spam detector training testing
CSC575 - Intelligent Information Retrieval (Dr. Bamshad Mobasher, Winter 2012) Text retrieval system Documentation Run using .exe made with Launch4j or executable jar file.
CSC495 - Introduction to Social Computing (Dr. Robin Burke, Spring 2012) Final project report: Network Visualization using Gephi
MKT534 - Analytical Tools for Marketers (Dr. Zafar Iqbal, Fall 2012) Factor Analysis using SAS (an example) Tool Summary #1: Perceptual Mapping (includes factor analysis) Tool Summary #2: Conjoint Analysis (includes multiple regression)
CSC425 - Time Series Analysis and Forecasting (Dr. Raffaella Settimi-Woods, Winter 2013) I wrote a SAS macro to simplify backtesting of a time series model, and my professor now includes it in her backtesting handout. Time Series Analysis of Retail Sales Data. Final project.
ECT584 - Web Data Mining for Business Intelligence (Dr. Jonathan Gemmell, Spring 2013) Recommender systems (from a homework assignment, implemented using Excel) Assignment Excel worksheet (as a JPEG) Course Project: Implementation of Market Basket Analysis Apriori Algorithm as a SAS macro PPT slides HTML output Enhanced HTML output (Use to identify possible interaction terms.) Snippet (From a ppt presentation to client.)
CSC555 - Mining Big Data (Dr. Alexander Rasin, Fall 2013) Project Presentation (As presented in class) Java source code to load zipped CSVs to HDFS (as .pdf) (as .java) Java source code for Mapper/Combiner/Reducer to produce descriptive statistics (as .pdf) (as .java)
CSC480 - Artificial Intelligence I (Dr. Jonathan Gemmell, Winter 2014) Assignment 1: Eight Piece Puzzle read me worksheet jar file Assignment 2: Dance Contest read me jar file medium.txt Assignment 3: Strips (general problem solver) read me outputs report jar file smart bird video Assignment 4: Name generator (Markov chain) read me outputs jar file boys names girls names Project: Prolog Programming slides
CSC424 - Advanced Data Analysis (Dr. Jonathan Gemmell, Spring 2014) Course project Multivariate analysis techniques (CCA, PCA, LDA, and clustering) using R Studio.
CSC478 - Programming Data Mining Applications (Dr. Bamshad Mobasher, Fall 2014) Course project Random Acts of Pizza - Text analysis
Copyright © 2014 by Bill Qualls. All rights reserved. Last updated December 5, 2014.