Skip to content

eugeniu1994/Machine-Learning-Lab-course

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

68 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

COVERED:

  1. Sheet 1: PCA, Outlier Detection, LLE

  2. Sheet 2: Clustering, Expectation-Maximization

  3. Sheet 3: Kernel Ridge Regression, Cross-Validation

  4. Sheet 4: Support Vector Machines, Neural Networks

About

Machine Learning lab course at the Technical University of Berlin. Covers supervised and unsupervised learning techniques.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors