principal-component-analysis-PCA For details, see notebook. PCA is implemented with numpy and scipy to better understand PCA. Sample data from MNIST dataset Visualization of MNIST dataset after dimensionality reduction using PCA Plot of variance explained by eigen values (to choose number of principal components)
