Name: Selecting Features for Modeling - Dimensionality reduction
Uploaded: 2025-12-05T00:00:00Z
Description: This chapter goes over a few different techniques for selecting the most important features from your dataset. You'll learn how to drop redundant features, work with text vectors, and reduce the number of features in your dataset using principal component analysis (PCA).