Data Science, Big Data, Data Mining, Data, Feature Engineering.
hard to interpret using LDA. 2) Principal Component Analysis (PCA) PCA is a dimensionality reduction that identifies important relationships in our data, transforms the existing data based on these relationships, and then quantifies the importance of these relationships so we can keep the most