Introduction to Prediction Modellling Part 2

This course provides an overview of diagnostic and prediction models, covering key concepts and tools for their development and evaluation. It explores both classical statistical regression and machine learning approaches, illustrated through case studies. The curriculum combines lectures with hands-on computer practicals, emphasizing practical applications of these models.

A minimum of 20 participants is required for the session to proceed.