This is a 3 day course with home work in-between. Registration only on day 1 for all 3 days, only if you complete the entire 3 days, you will get a certificate.
Requirements:
- Python knowledge
- R knowledge
There will be a practical part, so please bring Laptop and R/RStudio or Python installed with you. You will have homework for the next session.
Trainers:
Sonja Hänzelmann
Susana Simancas
Jonas Küpper
Agenda:
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Introduction to machine learning
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Machine Learning Concepts
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Test and train data
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Discrete and Continuous Data
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Labeled - Unlabeled Data
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Machine Learning Algorithms
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Unsupervised Learning - Clustering
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Unsupervised Learning - Dimensionality Reduction
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Supervised Learning - Regression
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Supervised Learning - Classification
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Supervised Learning - Random Forests
Level: Beginner-friendly, perfect for anyone looking to better understand and apply ML methods.
Registration is only needed for day 1, you are automatically registered for all three days. Please only sign up if you can attend at all three days.
