Customer Segmentation using Machine Learning in Apache Spark - Projects Based Learning

In this project, we will perform one of the most essential applications of machine learning – Customer Segmentation. We will implement customer segmentation in Apache Spark and Scala, whenever you need to find your best customer. Customer Segmentation is one of the most important applications of unsupervised learning. In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled datasets. Welcome to this project on Customer Segmentation using Apache Spark Machine Learning using Apache Zeppelin platform which allows you to execute your spark code in Apache Zeppelin notebook.