How to select features using best ANOVA F-values in Python ANOVA F-values are a statistical measure that can be used to select features for a machine learning model. The F-value represents the ratio of the variance between two groups of data (in this case, the variance between the classes of your target variable) to the …
How to reduce dimensionality using PCA in Python Principal Component Analysis (PCA) is a technique for dimensionality reduction that is commonly used in machine learning and data analysis. It works by identifying the directions (principal components) in the data that have the most variation and projecting the data onto these directions. By doing so, it …