Umap, Machine Learning, AI, Dimensionality Reduction.
FactorAnalysis(n_components=4) # transform data, # note that you can´t get more features then what you started out with. reduced_data = fa.fit_transform(data) # Lets create an image of the information dense PCA features plt.scatter(reduced_data[:,0], reduced_data[:,1], c=target) plt.title("Using