Introduction to Machine Learning
Workshop, SMiP, University of Tübingen, 2024
Syllabus
Slides
Markdown Source Files
Tutorials
- module1-linear_regression-SOLUTION.html
- module1-linear_regression.html
- module1-logistic_regression-SOLUTION.html
- module1-logistic_regression.html
- module2-SVM-SOLUTION.html
- module2-SVM.html
- module2-trees-SOLUTION.html
- module2-trees.html
- module3-clustering-SOLUTION.html
- module3-clustering.html
- module4-deep_learning-SOLUTION.html
- module4-deep_learning.html
Resources
- downloads.zip
- emo.RData
- module1-auditory_strings.csv
- module1-video_reading.csv
- module2-bfi-imbalanced.csv
- module2-bfi.csv
Markdown Source Files
- module1-linear_regression-SOLUTION.Rmd
- module1-linear_regression.Rmd
- module1-logistic_regression-SOLUTION.Rmd
- module1-logistic_regression.Rmd
- module2-SVM-SOLUTION.Rmd
- module2-SVM.Rmd
- module2-trees-SOLUTION.Rmd
- module2-trees.Rmd
- module3-clustering-SOLUTION.Rmd
- module3-clustering.Rmd
- module4-deep_learning-SOLUTION.Rmd
- module4-deep_learning.Rmd
