Customer Segmentation using K-Means Clustering

As the population rapidly increases Customer Segmentation is becoming critically important nowadays for many businesses. It is widely used to target the best customers for their product and provide service. But for improving its efficiency we need to apply different tactics from time to time. The K means clustering algorithm is used to analyze large and complex datasets. It groups similar types of items and forms clusters. Also, it helps to confirm business assumptions. In this paper, we discussed steps on how we can visualize the clusters of customers by plotting the graph and studying about the data using the k-means Clustering Algorithm. All the programming is done by using Python and its Libraries like pandas, numpy, seaborn, matplotlib and sklearn. The final data-driven decision-making by looking at the final clusters help business to get some valuable insights