Data Analysis (Fall 2018)

Course slides:

• 09/11: Course introduction (slides)

• 09/18: Machine Learning for Beginner Part I (slides) (notebook)

• 09/25: Machine Learning for Beginner Part II (slides) (notebook)

• 10/02: Regression (slides) (notebook)

• 10/09: Logistic Regression (slides) (notebook) (data)

• 10/16: Clustering (slides) (notebook)

• 10/23: Clustering, Dimension Reduction (slides) (notebook)

• 10/30: Dimension Reduction (notebook)

• 11/06: Feature Selection (slides) (notebook)

• 11/13: Feature Selection, From Linear to Nonlinear (slides)

• 11/20: From Linear to Nonlinear (notebook)

• 11/27: Support Vector Machines (slides) (notebook)

• 12/04: Assign the tasks of final porject

• 12/11: Ensemble Methods: Bagging (slides)

• 12/18: Ensemble Methods: Boosting

• 12/25: VC Dimension

• 01/01: New Year's Day

• 01/08: Final Project

Bi-weekly Exercise:

• 團體練習成績

• 09/25: problem_set

• 10/16: problem_set (notebook)

• 10/30: problem_set (notebook)

• 11/20: problem_set (notebook)

• 12/04: problem_set (notebook)