AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
parameters. When to Use: 1. Classification Tasks LDA is beneficial when the goal is to classify data into predefined classes. 2. Preserving Class Information: When the goal is to reduce dimensionality while preserving information that is relevant for discriminating between classes. 3. Normality