Event
The dates and events shown here are dynamically displayed from Stud.IP.
Therefore, if you have any questions, please contact the person listed under the item Lehrende/DozentIn (Lecturers) directly.
Event
Semester:
Summer term
2025
2.01.536 Machine Learning with Scikit-Learn -
Event date(s) | room
- Montag, 22.9.2025 10:00 - 18:00 | A05 0-056
- Dienstag, 23.9.2025 10:00 - 18:00 | A05 0-056
- Mittwoch, 24.9.2025 10:00 - 18:00 | A05 0-056
- Donnerstag, 25.9.2025 10:00 - 18:00 | A05 0-056
- Freitag, 26.9.2025 10:00 - 18:00 | A05 0-056
- Montag, 29.9.2025 10:00 - 18:00 | A05 0-056
- Montag, 29.9.2025 16:00 - 18:00 | A14 1-103 (Hörsaal 3)
- Dienstag, 30.9.2025 10:00 - 18:00 | A05 0-056
Description
This lecture introduces core machine learning concepts and their implementation in scikit-learn. Topics include classification methods (k-NN, SVM, Random Forest), regression techniques (linear, polynomial), and clustering algorithms (k-Means, DBSCAN). Dimensionality reduction with PCA and t-SNE, model evaluation metrics (cross-validation, ROC, precision-recall), and preprocessing steps such as normalization and feature selection are also covered. Practical examples using Python and scikit-learn illustrate key methods and their application to real datasets.
lecturer
SWS
4
Lehrsprache
englisch