Machine Learning, Data Science, Deep Learning, Dimensionality Reduction, Artificial Intelligence.
between variables. This information is used to determine which variables are most important. Eigenvectors and Eigenvalues: These are the “magic” behind PCA. Without diving too deep into the math, these are like directions and their strengths. They tell us how much each variable contributes to the