Description
Participants will learn how to approach, visualize, and understand complex datasets using powerful dimensionality reduction techniques (like PCA and t-SNE). The afternoon is dedicated to the critical steps of data preprocessing, focusing on cleaning, normalization, transformation, and strategies for handling missing data (imputation).
