Machine Learning, Technology, Data Analysis, Python, Data Science.
Analysis): PCA is a linear dimensionality reduction technique that transforms the data into a new set of orthogonal components (principal components) by maximizing the variance along each component. The first principal component captures the most significant variance in the data, and subsequent