Data Science, Education, Programming, Machine Learning, Python.
one Principal Component Analysis (PCA) PCA is a powerful tool used for dimensionality reduction and feature extraction. It is a linear transformation technique that is used to minimize the number of variables while retaining the maximum amount of information. PCA looks at the correlation between