herewe are initializing kmeans to be the kmeans algorithmwith the required parameter of how many clusters (n_clusterskmeans kmeans(n_clusters= we need to train the -means model with the input data kmeans fit(xy_kmeans kmeans predict(xplt scatter( [: ] [: ] =y_kmeanss= cmap='viridis'centers kmeans cluster_centers_ the code given below will help us plot and visualize the machine' findings based on our dataand the fitment according to the number of clusters that are to be found plt scatter(centers[: ]centers[: ] ='black' = alpha= )plt show(