Part 1: Machine Learning Fundamentals with Application Examples

Only if you complete all three days, you will receive a certificate

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.

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.