Umap, Machine Learning, AI, Dimensionality Reduction.
out with. reduced_data = pca.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 the 1st and 2nd Dimensions shows increased information") plt.show() So we can clearly see the advantages and