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