Data Science, Artificial Intelligence, K Means, Audience Engagement, Python.
cluster_labels = clusterer.fit_predict(X_scaled_red) Next steps Next, we will evaluate the results and gain insights into the clustering by visualizing the clusters. Visualization tools such as pairplots and kernel density estimate plots are great for initial analysis. A 3D plot using Matplotlib