Data Analysis (Fall 2016)

Final Grade (download)

Course slides:

  • 09/21: Course introduction (slides), basic concept and naive bayes (slides)

  • 09/28: Suspended due to Megi Typhoon

  • 10/05: Basic Model Evaluation (slides)

  • 10/12: Basic Model Evaluation (demo code)

  • 10/19: Dimension Reduction and Case Study: Face Recognition (slides)

  • 10/26: Types of Learning (slides)

  • 11/02: Linear Regression (slides)

  • 11/09: Ridge Regression

  • 11/16: Midterm Exam

  • 11/23: Decision Tree (slides)

  • 11/30: Decision Tree and Clustering (slides)

  • 12/07: Clustering

  • 12/14: Attend APSIPA 2016

  • 12/21: Dr. Wang's Talk (from CITI, Academia Sinica)

  • 12/28: Support Vector Machines

  • 01/04: Data analysis demos

  • 01/10: Final Project Presentation

Midterm Exam:

  • 11/16: previous midterm exam (download)

Final Project:

  • Gender Recognition by Voice: download

  • House Sales: download

  • Field Goal Prediction: download

  • Text Classification: download