Machine Learning, Data Science, NLP, Dimensionality Reduction, Pca.
most variance in our data. The next step is to transform the original data onto our new found axis which is just two instead of original three dimensions. The final result in figure ( C) gives us a pretty good picture of how the data is shaped only with two dimensions even though we have discarded