Principal Component, Unsupervised Learning, Dimensionality Reduction, Interview Questions, Machine Learning.
Less data means that algorithms train faster. Question 6: What are the assumptions of PCA? (A) There needs to be a linear relationship between all variables because PCA is based on Pearson correlation coefficients. Adequate correlations are needed between the variables to be reduced to a smaller