Umap, Machine Learning, AI, Dimensionality Reduction.
matplotlib.pyplot as plt # get data data = load_iris()["data"] target = load_iris()["target"] # create transformer tsne = TSNE(n_components=2, random_state=42) # transform data, # note that you can´t get more features then what you started out with. reduced_data = tsne.fit_transform(data) # Lets