18 PCA: Principal Component Analysis
Machine Learning with Coffee - En podcast av Gustavo Lujan
We discuss Principal Component Analysis as one of the most popular techniques to reduce the dimensionality of a dataset. PCA helps us be more efficient in terms of the number of variables we feed to our machine learning models.