PCA
Learn about PCA and why it's useful for data preprocessing.
We'll cover the following...
Chapter Goals:
- Learn about principal component analysis and why it's used
A. Dimensionality reduction
Most datasets contain a large number of features, some of which are redundant or not informative. For example, in a dataset of basketball statistics, the total points and points per game for a player will (most of the time) tell the same story about the player's scoring prowess.
When a dataset contains these types of correlated numeric features, we can perform ...