AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
visualization. 2. LDA (Linear Discriminant Analysis) Use Cases: 1. In classification problems where enhancing the separation between classes is important. 2. When there is a labeled dataset, and the goal is to find a projection that maximizes class discrimination. 3. LDA is particularly effective