In the above article, I had written about some of the open-source tools that let beginners start building beautiful visuals immediately. The current article builds upon this last article and includes a few more open-source data visualization tools. These tools make it easy to create charts & maps and put your imagination onto the canvas.
One-liner to plot Elbow curve, Silhouette curve, Intercluster distances, and learn about Scikit-Learn tips that can improve your model. K-Means is the most used clustering algorithm in unsupervised Machine Learning problems and it is really useful to find similar data points and to determine the structure of the data. In this article, I assume that you have a basic understanding of K-Means and will focus more on how you can-