Machine Learning

Course overview

Upon completion of the training, you will have fundamental knowledge in Machine Learning and be able to apply algorithms for classification and clustering. Additionally, you will be capable of implementing models in Python and optimizing hyperparameters. Fundamentals of Machine Learning Perceptron algorithms for classification K-Means clustering and K-Nearest Neighbors Random Forests and decision trees Hyperparameter tuning and model evaluation with Python implementation

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-08-30T22:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-30T22:00:00.000Z · Hamburg · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-30T22:00:00.000Z · Bremen · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-30T22:00:00.000Z · Mönchengladbach · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-30T22:00:00.000Z · Dortmund · Combined Learning