Data Science, Machine Learning, Pca, Big Data, Principal Component.
scaling. What did we learn? So we started with the curse of dimensionality and discussed how principal component analysis is effective in dimensionality reduction, data visualization in EDA and feature extraction. If implemented properly, it can be effective in a wide variety of disciplines. But