Data Analysis (Fall 2017)

Course slides:

  • 09/11: Course introduction (slides)

  • 09/18: Machine Learning for beginners: Basic Concept of Data Analysis (slides) (code)

  • 09/25: Machine Learning for beginners: Basic Model Evaluation (slides) (code1, code2)

  • 10/02: Machine Learning for beginners: Data Visualization by Principal Component Analysis (slides)(code1, code2, code3)

  • 10/09: Double-ten Holiday

  • 10/16: Linear Regression (slides)(code)

  • 10/23: Logistic Regression

  • 10/30: Suspend due to Graduation photo

  • 11/06: Logistic Regression (slides)

  • 11/13: Clustering

  • 11/20: Clustering (slides)

  • 11/27: Dimension Reduction (slides)

  • 12/04: Dimension Reduction

  • 12/11: From Linear to Nonlinear: Kernel Trick (slides)

  • 12/18: Midterm Exam (slides)

  • 12/25: Support Vector Machine (slides)

  • 01/01: New Year's Day

  • 01/08: Final Project (topics)

Bi-weekly Exercise:

  • 10/02: File

  • 10/23: File, code1, code2

  • 11/13: File, data, code1

  • 12/04: File

Final Project:

  • 01/08