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Event

Semester: Summer term 2025

2.01.536 Machine Learning with Scikit-Learn -  


Event date(s) | room

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

(Changed: 22 May 2025)  Kurz-URL:Shortlink: https://uole.de/en/students/lehrveranstaltungen/va-details?cHash=32c4baff7d97353929ce1a5d937670e3&course_id=929b5de1fbcb5a115cb841dd979f04ed
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