. Lecture 7. Part 1. Principal Component Analysis. Theory and practice

We start with a quick intro to unsupervised learning, then discuss Principal Component Analysis and its applications in visualization and dimensionality reduction. Notebooks - Main site - Kaggle Dataset - GitHub repo -
Back to Top