Data Science, Python, Machine Learning, Dimensionality Reduction.
visually inspecting the plot. Simpson's paradox highlights the fact that analysts should be diligent to avoid mistakes. Principal Component Analysis Principal Component Analysis (PCA) is a widely used technique for dimensionality reduction in machine learning and data analysis. PCA transforms the