KI-Campus/AMALEA
Praktische Programmieraufgaben zum KI-Campus-Kurs "AMALEA - Angewandte Machine Learning Algorithmen"
This project provides practical programming exercises for the "AMALEA - Applied Machine Learning Algorithms" course. It offers interactive Jupyter Notebooks that combine instructional text with Python code, helping learners grasp machine learning concepts through hands-on practice. The exercises are suitable for anyone looking to understand and apply fundamental machine learning techniques.
No commits in the last 6 months.
Use this if you are enrolled in the KI-Campus AMALEA course or want self-paced, hands-on introductions to applied machine learning concepts using Python.
Not ideal if you are looking for advanced machine learning research tools or a plug-and-play solution for complex data analysis without learning the underlying code.
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Jupyter Notebook
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Last pushed
Nov 15, 2022
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