Machine Learning, Tutorial, Dimensionality Reduction, Deep Learning, Python.
Similarly, we can transform the entire 124 x 13-dimensional training dataset onto the two principal components by calculating the matrix dot product: Lastly, let’s visualize the transformed Wine training set, now stored as an 124 x 2-dimensional matrix, in a two-dimensional scatterplot: As we can