Machine Learning (2020 Spring)

Course slides:

• • 03/06: Course introduction (slides)

  • 03/13: Machine Learning for Beginner (slides) (code)

  • 03/20: Machine Learning for Beginner (code)

  • 03/27: Regression (slides) (code)

  • 04/03: Spring Break

  • 04/10: Logistic Regression (slides) (code)

  • 04/17: Clustering (slides) (code)

  • 04/24: Clustering, Dimension Reduction (slides)

  • 05/01: Dimension Reduction (PCA, LDA, LLE)

  • 05/08: Feature Selection (slides) (code)

  • 05/15: Feature Selection

  • 05/22: Ensemble Methods: Bagging (slides) (data) (code)

  • 05/29: Ensemble Methods: Boosting: AdaBoost (slides)

  • 06/05: Ensemble Methods: Boosting: Gradient Boosting Machine

  • 06/12:

  • 06/19: Invited Talk

  • 06/26: Holliday

  • 07/03: Final Project

    • week1 rank, week2 rank, week3 rank, week4 rank

    • Data 1: house

    • Data 2: voice

    • Data 3: Trip_Type

    • Data 4: medline

Bi-weekly Exercise

• • grade

  • 20200410_problem_set

  • 20200424_problem_set

  • 20200515_problem_set

  • 20200529_problem_set