Machine Learning and AI for Biological Data Analysis with R

The course introduces machine learning in R for complex biological datasets. Practical sessions cover preprocessing, supervised and unsupervised methods, variable selection, model interpretation and reliable evaluation, culminating in a reproducible analysis of biological data.