AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
general guidelines on when to use each technique: 1. PCA (Principal Component Analysis) Use Cases: 1. When the goal is to reduce the dimensionality of the dataset. 2. In scenarios where capturing global patterns and relationships within the data is crucial. 3. For exploratory data analysis and