Machine Learning & Python

Course overview

Upon completion of the training, you will have knowledge of building and deploying machine learning models using Python. You will also be able to prepare data, configure algorithms, and evaluate models. Basics of Python and data types Classes, methods, and inheritance Data preparation and one-hot encoding Implementation of machine learning algorithms with Scikit-Learn Model evaluation, hyperparameter tuning, and confusion matrix analysis

Upcoming dates

• 2026-09-20T22:00:00.000Z · 2026-12-13T23:00:00.000Z · München · Combined Learning
• 2026-09-20T22:00:00.000Z · 2026-12-13T23:00:00.000Z · Hamburg · Combined Learning
• 2026-09-20T22:00:00.000Z · 2026-12-13T23:00:00.000Z · Mönchengladbach · Combined Learning
• 2026-09-20T22:00:00.000Z · 2026-12-13T23:00:00.000Z · Augsburg, Bayern · Combined Learning
• 2026-09-20T22:00:00.000Z · 2026-12-13T23:00:00.000Z · Bremen · Combined Learning