Machine Learning, Tutorial, Dimensionality Reduction, Deep Learning, Python.
principal components combined explain almost 60% of the variance in the dataset. Feature Transformation After we have successfully decomposed the covariance matrix into eigenpairs, let’s now proceed with the last three steps of PCA to transform the Wine dataset onto the new principal component