Practical Project Machine Learning

Course overview

Upon completion of the training, you will have knowledge of comparing common classification algorithms in the Practical Project Machine Learning and applying data preparation techniques. Additionally, you will be able to evaluate models and prepare project results. Practical Project Machine Learning - Comparison of common classification algorithms Practical Project Machine Learning - Analysis of hyperparameters for performance improvement Creation of a comprehensive project presentation Evaluation of model accuracy by measuring accuracy and analyzing the confusion matrix Data preparation through one-hot encoding and standardization

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-08-09T22:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-09T22:00:00.000Z · Bremen · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-09T22:00:00.000Z · Hamburg · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-09T22:00:00.000Z · Mönchengladbach · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-09T22:00:00.000Z · Düsseldorf · Combined Learning