Tentative Class Schedule
(Files available through Canvas Login)
Lecture 1 Course Introduction  
Lecture 2 Data Pre-Processing HW 1 Out
Lecture 3 Data Exploration and Visualization  
Lecture 4 Decision Trees HW 2 Out
Lecture 5 Model Evaluation  
Lecture 6 Rule-Based and Bayesian Classification HW 3 Out
Lecture 7 Non-linear Classification  
 
Mid-Term Exam
 
Lecture 8 Ensemble Methods  
Lecture 9 Regression Analysis HW 4 Out
Lecture 10 Clustering Algorithms  
Lecture 11 Clustering Algorithms (Contd.)  
Lecture 12 Association Analysis HW 5 Out
 
Thanksgiving Break
 
Lecture 13 Anomaly Detection and DM Applications  
Lecture 14 Top10 Algorithms and Course Review  
 
Project Presentations
Project Report Due
  Final Exam