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Dr. Stephanie Schwartz

Professor and Chair of Computer Science

Millersville University

CSCI 452: Data Mining Resources
Spring 2019

Week ofMondayWednesdayFridayDue
Jan 21
MLK Day
Introduction…
Experimental Design…
Data Overview…
Jan 28
Statistical Learning…
Lab (Web Scraping)
R Intro
Sunday (Feb 3)
Lab 1 Web Scraping…
Feb 4
Statistical Estimation…
Lab (Press Briefings)
Linear Regression…
Feb 11
Multivariate Linear Regression…
Lab
Regression with Qualitative Variables…
Data Expl due Tuesday
HW1 Data Exploration…
Feb 18
Data Preprocessing…
Lab
Decision Trees…
Project proposal due on Wednesday, Press Briefings lab due on Friday
Course Project…
Lab 2 Press Briefings (More Web Scraping)…
Feb 25
Decision Trees…
Lab
Decision Trees…
Linear Regression lab due Friday
Linear Regression Assignment…
March 4
Finish up decision trees, review for midterm
Midterm
March 11
Spring Break
Spring Break
Spring Break
March 18
Cross Validation and Sampling…
Lab
Support Vector Machines…
Tuesday
Decision Trees Lab…
March 25
SVM Recap and Example
Peer Review/Feedback for Project Phase 2
Naive Bayes…
Tuesday, Phase 2
Course Project…
April 1
Ensemble Methods (Bagging, Boosting, Random Forests)…
Lab
Ensemble Methods (cont'd)
April 8
Feature Subsets…
Class Imbalance…
Lab
Guest Speaker
Tuesday
Lab 5: Support Vector Machines…
April 15
K-Nearest Neighbor…
Lab
April 22
Clustering…
Association Mining…
Presentations
Tuesday
Class Imbalance Lab…
April 29
Presentations
Presentations
Presentations
May 6
Review (with Dr. Killian)
Course Project Report due Monday and FINAL EXAM Thursday, May 9th 8-10am
Lecture Slides
Review Materials
Dataset Sources
Sample Code

R code samples presented in class are posted in D2L

R and R Markdown Resources

2018 — Stephanie Schwartz — Millersville University