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.
Content:
- Introduction to Machine Learning
- Supervised vs. Unsupervised Learning – key concepts and use cases
- Unsupervised Learning – Finding patterns in data (Clustering, Dimensionality Reduction)
- Supervised Learning – Prediction models (Classification, Regression)
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.
Application
Application for this event is currently open.
