Feature Selection and Dimensionality Reduction
Feature selection and dimensionality reduction are techniques used in data science: These techniques aim to identify the most relevant features and reduce the dimensionality of the dataset, thereby improving model performance, reducing computational complexity and alleviating the curse of dimensionality. Feature Selection: Feature selection refers to the process of selecting a subset of the original […]