All Machine Learning Algorithms You Should Know for 2023

Linear/Logistic Regression: a statistical method for modeling the linear relationship between a dependent variable and one or more independent variables -- can be used to understand the relationships between variables based on the t-tests and coefficients. Decision Trees: a type of machine learning algorithm that creates a tree-like model of decisions and their possible consequences. They are useful for understanding the relationships between variables by looking at the rules that split the branches. Principal Component Analysis (PCA): a dimensionality reduction technique that projects the data onto a lower-dimensional space while retaining as much variance as possible. PCA can be used to simplify the data or to determine feature importance.